[CourseClub.NET] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0

磁力链接/BT种子名称

[CourseClub.NET] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0

磁力链接/BT种子简介

种子哈希：7338255eded354e216a3cdf7bb47540f4d5d2049
文件大小： 2.3G
已经下载：2250次
下载速度：极快
收录时间：2021-03-07
最近下载：2024-12-23

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:7338255EDED354E216A3CDF7BB47540F4D5D2049
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp4 24.4 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4 22.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.mp4 22.0 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.mp4 22.0 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp4 21.7 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp4 21.2 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.mp4 21.1 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 20.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4 18.3 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 18.2 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp4 18.2 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp4 17.7 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.mp4 17.3 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.mp4 17.3 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.mp4 16.4 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp4 15.7 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.mp4 15.5 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.mp4 15.3 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 15.3 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp4 15.0 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp4 14.9 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp4 14.8 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp4 14.7 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.5 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.mp4 14.4 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.mp4 14.4 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.8 MB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 13.4 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.mp4 13.2 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.mp4 13.1 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12.6 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 12.2 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp4 11.9 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.mp4 11.6 MB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11.2 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 11.0 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp4 10.9 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.mp4 10.8 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/output.gif 10.7 MB
  • Part 02-Module 01-Lesson 01_Study Plan/img/output.gif 10.7 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/output.gif 10.7 MB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.mp4 10.6 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.6 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 10.5 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp4 10.4 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.mp4 10.4 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp4 10.3 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp4 10.1 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 10.1 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 10.0 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.mp4 9.6 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/sonic.gif 9.6 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp4 9.5 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 9.4 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.mp4 9.3 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/embedding.gif 9.2 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp4 9.1 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.mp4 8.9 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.mp4 8.8 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. Pong with PPO walkthrough-XhfhR7Z01S0.mp4 8.7 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/grad-descent.gif 8.7 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp4 8.7 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp4 8.6 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp4 8.5 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.5 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp4 8.5 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp4 8.4 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.mp4 8.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp4 8.4 MB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8.3 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp4 8.2 MB
  • Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.mp4 8.2 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 8.1 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.mp4 8.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.mp4 7.9 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/chess-game.jpg 7.9 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp4 7.8 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.mp4 7.8 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.mp4 7.7 MB
  • Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.mp4 7.6 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.mp4 7.6 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp4 7.5 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.mp4 7.5 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.mp4 7.3 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4 7.2 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp4 7.2 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp4 7.1 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp4 7.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp4 6.9 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp4 6.9 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.mp4 6.8 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.mp4 6.8 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp4 6.8 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp4 6.6 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.mp4 6.5 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.mp4 6.4 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.4 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.3 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.mp4 6.3 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp4 6.2 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.mp4 6.1 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp4 6.1 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.mp4 6.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.mp4 6.0 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp4 6.0 MB
  • Part 02-Module 01-Lesson 04_Navigation/img/bananas-save.gif 5.8 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.mp4 5.7 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.6 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.mp4 5.6 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.mp4 5.5 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp4 5.5 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/soccer.gif 5.5 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.mp4 5.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp4 5.4 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.4 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp4 5.3 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.mp4 5.2 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.mp4 5.2 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.mp4 5.1 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.mp4 5.1 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.mp4 5.1 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp4 5.0 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp4 5.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.mp4 5.0 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.mp4 4.9 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.mp4 4.9 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.mp4 4.9 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp4 4.9 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp4 4.8 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.7 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.mp4 4.6 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.mp4 4.5 MB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.5 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.mp4 4.5 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.mp4 4.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp4 4.4 MB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/42135602-b0335606-7d12-11e8-8689-dd1cf9fa11a9.gif 4.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/banana.gif 4.4 MB
  • Part 02-Module 01-Lesson 04_Navigation/img/banana.gif 4.4 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.mp4 4.3 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp4 4.2 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 4.2 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/reacher.gif 4.2 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/reacher.gif 4.2 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp4 4.1 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.mp4 4.0 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp4 4.0 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp4 3.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.mp4 3.7 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.7 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.7 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.6 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.6 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 1-HYV0SP9wm7g.mp4 3.6 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/09. 10 Double DQN V2-PGCEMLujiGI.mp4 3.6 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.5 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.5 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.mp4 3.5 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.5 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.mp4 3.5 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.5 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.mp4 3.4 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.4 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction-sokSgNtGj9Y.mp4 3.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/dumb-soccer.gif 3.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.mp4 3.3 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.02-pm.png 3.2 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/01. M3L601 Introduction HS V1-Nn1PblFSnP8.mp4 3.1 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/07. M3L608 Optimization SC PT3 V1-3pN77gMg788.mp4 3.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.mp4 3.1 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction-GCGqT2knFJ0.mp4 3.1 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.mp4 3.0 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png 3.0 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.mp4 3.0 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 3.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 3.0 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.mp4 2.9 MB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/open-agent-monitor-main.gif 2.9 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. M3 L2 C02 V1-v8tGjlc2aG4.mp4 2.8 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods-ZwIg6LDMyuo.mp4 2.7 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.mp4 2.7 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.mp4 2.7 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.mp4 2.7 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/bipedal-walker.gif 2.6 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.58.16-pm.png 2.5 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.mp4 2.5 MB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.mp4 2.4 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.mp4 2.4 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp4 2.4 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 2-U_CV-UC9G2c.mp4 2.3 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.3 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/environment.png 2.3 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/04. Untitled-i2gVvXgOMnc.mp4 2.3 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.mp4 2.2 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.mp4 2.2 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/06. M3L607 Optimization SC PT2 V1-JzL66ZbTC9U.mp4 2.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. M3 L2 C07 V3-2poDljPvY58.mp4 2.2 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.mp4 2.2 MB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/openaigym-gif.gif 2.2 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.mp4 2.1 MB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/run-main.gif 2.1 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.mp4 2.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.mp4 2.0 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/05. M3L606 Optimization SC PT1 V1-6NiRtFyA2DU.mp4 1.9 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.8 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment-tfZw1moB25Y.mp4 1.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-11.36.43-am.png 1.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/11. 10 Dueling DQN V2-zZeHbPs39Ls.mp4 1.7 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.7 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.7 MB
  • Part 02-Module 01-Lesson 04_Navigation/04. Getting Started-ltz2GhFv04A.mp4 1.7 MB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png 1.6 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. M3 L2 C05 V1-0XzzqIXyax0.mp4 1.6 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/frozen-lake-6.jpg 1.6 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 03 Transitioning-BvDvxw8e0CY.mp4 1.5 MB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/03. Untitled-kxDvrkg8ep0.mp4 1.5 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/t-sne-mnist.png 1.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.mp4 1.4 MB
  • Part 02-Module 01-Lesson 04_Navigation/img/2018-02-27-16-05-37.gif 1.4 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/2018-02-27-16-05-37.gif 1.4 MB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/2018-02-27-16-05-37.gif 1.4 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-2.49.48-pm.png 1.3 MB
  • Part 01-Module 01-Lesson 12_What's Next/img/dqn.png 1.3 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.mp4 1.3 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-2.51.59-pm.png 1.3 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. L601 Intro RENDER V2-3H5x0lstvmo.mp4 1.2 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/mjg2mzcyma.gif 1.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-06-26-at-11.53.35-am.png 1.2 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.28-pm.png 1.2 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-3.14.47-pm.png 1.1 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.42-pm.png 1.1 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.56-pm.png 1.1 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.mp4 1.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/img/luis-circle.png 1.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/statevalue.png 1.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.mp4 1.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.mp4 949.3 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/image4.gif 948.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.mp4 839.5 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/open-terminal.gif 838.9 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/soccer.png 821.2 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.mp4 793.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/screen-shot-2018-07-06-at-11.33.53-am.png 777.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/get-hired-with-the-udacity-career-portal.gif 774.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.00.25-pm.png 772.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-23-at-8.35.17-pm.png 754.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.08.36-pm.png 737.5 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-04-at-4.58.58-pm.png 733.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6509638772.gif 728.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/qtable2.png 687.2 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/crawler.png 653.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/actionvalue.png 643.5 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-24-at-4.28.04-pm.png 637.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/go.jpg 629.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/profile-pics.jpg 609.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 583.0 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/screen-shot-2018-07-27-at-2.25.43-pm.png 564.0 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png 541.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-23-at-8.35.25-pm.png 530.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-06-at-4.54.39-pm.png 506.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/armenv.png 496.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-08-31-at-3.27.10-pm.png 474.2 kB
  • assets/img/udacimak.png 472.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6485174133.gif 469.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.47.51-pm.png 461.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6499079068.gif 456.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6551597473.gif 455.0 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-9.38.24-am.png 451.5 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image4.png 446.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/screen-shot-2018-06-30-at-6.40.09-pm.png 437.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-9.55.20-am.png 424.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/cezanne-circle.png 421.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-2.18.38-pm.png 415.6 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/game-example.gif 409.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.mp4 404.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.35.07-pm.png 401.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.08.30-pm.png 398.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/mat-leonard-circle.png 394.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/img/mat-leonard-circle.png 394.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/value-iteration.png 390.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/we-can-do-it-poster-1393770492mjo.jpg 390.1 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png 384.6 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/episode.png 382.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/arpan-headshot.png 379.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/rainbow-1445337690d8q.jpg 379.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/qtable.png 377.8 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png 374.8 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/screen-shot-2018-06-08-at-1.04.47-pm.png 355.8 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/02. Training an agent to play atari-pong!-w27mvWFBnvQ.mp4 345.5 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2017-12-17-at-12.49.34-pm.png 340.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/cartpole.gif 334.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/alexis.jpg 321.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-24-at-11.45.52-am.png 313.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/screen-shot-2018-08-16-at-4.37.07-pm.png 308.9 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-09-at-6.28.07-pm.png 307.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/fruit.gif 292.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/dqn.png 284.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2018-01-08-at-5.38.03-am.png 282.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/truncated-iter.png 280.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-04-at-5.01.26-pm.png 278.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/policy-eval.png 265.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-11.03.16-pm.png 265.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/screen-shot-2018-06-12-at-5.07.10-pm.png 263.6 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/rl-gazebo-fall.png 262.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/matengai-of-kuniga-coast-in-oki-island-shimane-pref600.jpg 252.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-07-01-at-10.54.05-am.png 251.2 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/ud272-l2-16-10-aws-account.png 247.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/iteration.png 247.2 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png 244.7 kB
  • assets/js/katex.min.js 236.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/redacted-linkedinresults.png 236.3 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image8.png 233.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/truncated-eval.png 230.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-07-11-at-11.19.56-am.png 229.9 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.55.40-pm.png 227.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/grokking-deeprl.png 225.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-4.22.09-pm.png 224.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-12.20.50-pm.png 215.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/exploration-vs.-exploitation.png 209.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/exploration-vs.-exploitation.png 209.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-12.20.30-pm.png 208.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-21-at-12.20.30-pm.png 208.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.11.40-pm.png 205.5 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-06-13-at-12.58.03-pm.png 201.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/screen-shot-2018-06-30-at-7.03.40-pm.png 198.5 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/p2-limit-increase.png 192.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/1omsg2-mkguagky1c64uflw.gif 188.4 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/new-tab.gif 185.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/pup.jpg 185.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-4.49.51-pm.png 180.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-10-at-6.10.16-pm.png 180.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-10-at-6.10.16-pm.png 180.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/2-card-21.png 180.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-05-at-1.20.10-pm.png 177.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/vgg-16.png 177.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/849-1234251683jkyt.jpg 164.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/849-1234251683jkyt.jpg 164.9 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/849-1234251683jkyt.jpg 164.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-12-17-at-9.41.03-am.png 162.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-3.08.03-pm.png 156.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/est-action.png 154.2 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-submit.png 149.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-10.30.15-am.png 148.6 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-notebook.png 146.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-04-30-at-10.27.56-am.png 145.7 kB
  • assets/css/bootstrap.min.css 140.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-06-28-at-6.46.54-pm.png 137.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/p2xlarge-limit-request.png 132.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/poker-hand-3-of-a-kind.png 131.7 kB
  • assets/js/plyr.polyfilled.min.js 129.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/improve.png 127.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/switch.png 125.8 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/tennis.png 123.3 kB
  • index.html 119.3 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/cover.jpg 116.4 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/backgammonboard.svg.png 115.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/mountain-car-cts.gif 115.3 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.38.47-pm.png 113.2 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/dueling-q-network.png 112.0 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/udacitylogo.jpg 109.9 kB
  • Part 02-Module 01-Lesson 01_Study Plan/img/udacitylogo.jpg 109.9 kB
  • Part 03-Module 01-Lesson 01_Study Plan/img/udacitylogo.jpg 109.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/udacitylogo.jpg 109.9 kB
  • Part 04-Module 01-Lesson 01_Study Plan/img/udacitylogo.jpg 109.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/article-2278590-1792e332000005dc-394-634x615.jpg 105.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/lunar-lander.gif 103.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-07-01-at-11.28.57-am.png 103.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-0.gif 96.8 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-menu.png 96.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/img/regularization-quiz.png 90.0 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-05-03-at-9.10.50-am.png 89.1 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/img/copy-of-template.png 88.6 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-new.png 87.3 kB
  • assets/js/jquery-3.3.1.min.js 86.9 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-05-at-3.55.40-pm.png 86.7 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-jupyter.png 85.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.47.43-pm.png 83.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-6.02.37-pm.png 80.7 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-05-02-at-4.56.45-pm.png 78.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-2.png 77.7 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/screen-shot-2018-07-17-at-4.44.10-pm.png 76.0 kB
  • assets/css/fonts/KaTeX_AMS-Regular.ttf 71.4 kB
  • assets/css/fonts/KaTeX_Main-Regular.ttf 70.1 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/paper-notes.png 69.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-5.51.40-pm.png 66.1 kB
  • assets/css/fonts/KaTeX_Main-Bold.ttf 61.7 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/nv-rl-stack-diagram.jpg 61.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-1.png 61.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/while.png 58.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2017-10-17-at-11.02.44-am.png 57.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/img/vectors.png 57.7 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-12.02.03-pm.png 57.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-3.25.10-pm.png 56.9 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/img/clipped-surrogate.png 56.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-9.18.00-pm.png 53.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-3.46.12-pm.png 53.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/for.png 52.2 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/img/policy-reward-cliff.png 51.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-2.43.07-pm.png 51.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/img/clipped-surrogate-explained.png 51.3 kB
  • assets/js/bootstrap.min.js 51.0 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/stop.png 48.7 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/screen-shot-2018-04-14-at-3.13.15-pm.png 48.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/menuopen.jpg 48.2 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-terminal.png 48.0 kB
  • assets/css/fonts/KaTeX_Main-Italic.ttf 48.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/layer-1-grid.png 46.8 kB
  • assets/js/jquery.mCustomScrollbar.concat.min.js 45.5 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.ttf 44.8 kB
  • assets/css/jquery.mCustomScrollbar.min.css 42.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/aws-add-sec-group.png 42.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-07-01-at-11.19.22-am.png 42.5 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-3.16.47-pm.png 41.5 kB
  • assets/css/fonts/KaTeX_Math-Italic.ttf 41.4 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/untitled-drawing.jpg 41.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/emptyterminal.jpg 40.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/texteditor.jpg 40.4 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff 40.2 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.ttf 39.7 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff 39.4 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/udacitylogo-copy.png 38.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/jupyter.png 37.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/jupyter.png 37.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/jupyter.png 37.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/jupyter.png 37.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/jupyter.png 37.7 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/jupyter.png 37.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/menu.jpg 37.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/files.jpg 37.1 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff 36.8 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.ttf 36.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-01-at-11.10.05-pm.png 36.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/grid-layer-1.png 36.1 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.ttf 36.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-2.33.19-pm.png 35.9 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/cli.jpg 35.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-3.53.08-pm.png 35.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/screen-shot-2018-05-03-at-11.30.05-pm.png 35.3 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.ttf 34.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/screen-shot-2018-05-02-at-12.24.35-am.png 34.4 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2018-01-08-at-5.37.22-am.png 34.0 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.ttf 34.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-01-at-11.12.36-pm.png 33.2 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff2 33.2 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff2 32.9 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/screen-shot-2018-07-27-at-1.24.38-pm.png 31.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.ttf 31.3 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff2 30.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.ttf 30.2 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/latex-image-1-copy.png 29.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-20-at-12.02.06-pm.png 28.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-09-20-at-12.02.06-pm.png 28.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-4.34.08-pm.png 27.5 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/unity-wide.png 27.4 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/unity-wide.png 27.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/unity-wide.png 27.4 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff 27.2 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff 26.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-11.35.38-am.png 25.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-09-25-at-11.35.38-am.png 25.8 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/pic3.png 25.3 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/aws-inst-stats.png 24.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.ttf 24.9 kB
  • assets/css/plyr.css 24.2 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff 23.8 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 23.4 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff 23.4 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff 23.2 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/launch-instance.png 23.1 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff2 23.1 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/11. Inclusion Guards.html 22.9 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.8 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt 22.6 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff2 22.2 kB
  • assets/css/katex.min.css 22.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/my-drawing.png 21.8 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.en.vtt 20.5 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.5 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff2 20.4 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff2 20.0 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-1.gif 19.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.6 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/350px-normal-distribution-pdf.png 19.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff 19.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt 19.0 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 19.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.en.vtt 18.1 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff 18.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt 18.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/idea-2579308-640.jpg 17.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/idea-2579308-640.jpg 17.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.en.vtt 17.8 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/speaking.png 17.5 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/17. Matrix Functions.html 17.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/18. If and Boolean Logic.html 17.3 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/14. Class Function Declarations.html 17.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt 17.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/14. Exploration vs. Exploitation.html 17.0 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.8 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/19. Instantiate an Object.html 16.3 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/review-and-launch.png 16.1 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff2 16.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Rubric - Improve Your LinkedIn Profile.html 15.9 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/15. Constructor Functions.html 15.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/04. Structuring Functions and File Organization.html 15.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. Epsilon-Greedy Policies.html 15.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff2 15.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/24. Last Feature Vector and t-SNE.html 15.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt 14.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/16. Quiz One-Step Dynamics, Part 2.html 14.7 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/09. Private and Public.html 14.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/20. Visualizing CNNs (Part 2).html 14.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/11. Common Errors and Error Messages.html 14.4 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/03. Overview of the ND Program.html 14.3 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. Memory and the CPU.html 14.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/16. Quiz Check Your Understanding.html 14.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/06. Deadline Policy.html 14.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt 14.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff2 14.0 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/unknown.png 14.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/02. Python vs. C++.html 13.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/27. Summary.html 13.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff 13.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt 13.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/aws-create-account.png 13.8 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.en.vtt 13.8 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/06. Practice Using a Class.html 13.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/embeddedlogo-04.png 13.5 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/16. Set and Get Functions.html 13.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Embedded Terminal Explanation.html 13.5 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/01. Opportunities in DRL.html 13.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/20. Switch Statement.html 13.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/06. An Iterative Method, Part 2.html 13.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-10-02-at-10.41.44-am.png 13.2 kB
  • assets/css/fonts/KaTeX_Size1-Regular.ttf 13.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.en.vtt 13.1 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/edit-security-group.png 13.1 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/03. Optimization Techniques.html 13.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/09. Quiz Goals and Rewards.html 13.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. Gridworld Example.html 13.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/13. Anatomy of a Function.html 12.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/12. Quiz Optimal Policies.html 12.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/09. Implementation.html 12.8 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/10. Header Files.html 12.7 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. MC Prediction - Part 3.html 12.7 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/06. Fruit Sample.html 12.7 kB
  • Part 08-Module 01-Lesson 03_Practical C++/06. Reading in Text Files.html 12.7 kB
  • Part 08-Module 01-Lesson 03_Practical C++/02. Running Code Locally.html 12.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/21. Libraries.html 12.7 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/02. Software Development and Optimization.html 12.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/04. Quiz Test Your Intuition.html 12.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/19. Summary.html 12.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/05. Python and C++ Comparison.html 12.6 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/07. Quiz State-Value Functions.html 12.6 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/05. Launch an Instance.html 12.5 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/04. Using a Class in C++ [Demo].html 12.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/25. Occlusion, Saliency, and Guided Backpropagation.html 12.4 kB
  • assets/css/fonts/KaTeX_Size2-Regular.ttf 12.4 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/04. Catch Sample.html 12.4 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/18. Use an Inclusion Guard.html 12.3 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/03. Quiz Interpret the Policy.html 12.3 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff2 12.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/11. Action Values.html 12.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/19. Summary.html 12.2 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/19. While and For Loops.html 12.1 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff 12.1 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/06. Benchmark Implementation.html 12.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/12. Quiz Pole-Balancing.html 12.0 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/06. (Optional) Derivation.html 11.9 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/03. More on the Policy.html 11.9 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/02. Introduction to Workspaces.html 11.8 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/index.jpg 11.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. Summary of Feature Viz.html 11.7 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO part 2- Clipping Policy Updates.html 11.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/screen-shot-2017-10-27-at-1.49.58-pm.png 11.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. Binary.html 11.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/04. The Environment - Explore.html 11.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt 11.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/09. Floating versus Double [demonstration].html 11.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/07. Quiz An Iterative Method.html 11.5 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/06. Vectors and For Loops.html 11.5 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. CC++ API.html 11.5 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/02. Namespaces.html 11.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/18. Finite MDPs.html 11.3 kB
  • assets/css/fonts/KaTeX_Size4-Regular.ttf 11.3 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/07. Review Anatomy of a Class.html 11.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 11.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Neural Network Architecture.html 11.1 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/02. Instructions.html 11.1 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/07. Rover Sample.html 11.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/15. Quiz One-Step Dynamics, Part 1.html 11.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/07. C++ - A Statically Typed Language.html 11.1 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/08. 1D Vector Playground.html 11.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/13. Summary.html 11.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt 10.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/05. Defining Layers in PyTorch.html 10.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/05. Quiz Sarsa.html 10.8 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/06. Policy Gradient Quiz.html 10.7 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/09. Quiz Expected Sarsa.html 10.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/10. Fully-Connected Layers, VGG-16.html 10.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/07. Quiz Q-Learning.html 10.7 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling.html 10.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt 10.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html 10.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.6 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/03. The Environment - Explore.html 10.6 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/04. Dead Code.html 10.6 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/03. OpenAI Gym.html 10.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation.html 10.6 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/01. Introduction.html 10.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/26. Check Your Understanding.html 10.5 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations.html 10.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Get Opportunities with LinkedIn.html 10.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/07. Profile Essentials.html 10.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/03. CNN Architecture, VGG-16.html 10.5 kB
  • Part 02-Module 01-Lesson 04_Navigation/04. The Environment - Explore.html 10.4 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/02. OpenAI Gym FrozenLakeEnv.html 10.4 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/13. Class Variables.html 10.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Review Dropout.html 10.4 kB
  • Part 02-Module 01-Lesson 04_Navigation/Project Rubric - Navigation.html 10.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. Constant-alpha.html 10.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.en.vtt 10.3 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/08. Basic Data Types.html 10.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. Intro to Computer Hardware.html 10.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt 10.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/24. Implementation.html 10.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/12. C++ Functions.html 10.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/12. Training in PyTorch.html 10.0 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/14. References.html 10.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks.html 10.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. Incremental Mean.html 9.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html 9.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/09. Build and Strengthen Your Network.html 9.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/03. Your Workspace.html 9.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/21. Implementation.html 9.8 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/01. C++ Vectors.html 9.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods.html 9.8 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/Project Rubric - Continuous Control.html 9.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/13. MC Control.html 9.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/15. Implementation.html 9.8 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.en.vtt 9.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/12. Summary.html 9.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. Lesson Outline and Data.html 9.6 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/07. Udacity Support.html 9.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/02. The Environment - Introduction.html 9.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt 9.6 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/05. Explanation of the Main.cpp File.html 9.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html 9.6 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/01. Learning Plan.html 9.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt 9.4 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.en.vtt 9.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/11. Commit messages best practices.html 9.4 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/06. If Statements.html 9.4 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/10. TD Control Theory and Practice.html 9.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/Project Rubric - Collaboration and Competition.html 9.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets.html 9.3 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/10. Summary.html 9.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO part 1- The Surrogate Function.html 9.3 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/17. Static Keyword.html 9.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.en.vtt 9.3 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/12. Rainbow.html 9.2 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/03. Workspaces Best Practices.html 9.2 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name.html 9.2 kB
  • Part 08-Module 01-Lesson 03_Practical C++/03. C++ Versions.html 9.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.pt-BR.vtt 9.2 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/launch.png 9.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/12. Implementation.html 9.1 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction.html 9.1 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. What are Policy Gradient Methods.html 9.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/01. Introducing Arpan.html 9.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/05. Quiz Episodic or Continuing.html 9.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 9.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/08. Work Experiences Accomplishments.html 9.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/05. Use Your Elevator Pitch on LinkedIn.html 9.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.pt-BR.vtt 9.0 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/09. 2D Vectors.html 9.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview.html 9.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/10. (Optional) Challenge Learning from Pixels.html 9.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa.html 9.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.en.vtt 8.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/11. (Optional) Challenge Crawl.html 8.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay.html 8.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/02. Review MC Control Methods.html 8.9 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. Review.html 8.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/04. Initializing Vector Values.html 8.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.en.vtt 8.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/07. Pooling, VGG-16 Architecture.html 8.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/11. 2D Vector Playground.html 8.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/14. Lab Instructions.html 8.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Projects You Will Build.html 8.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt 8.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/15. Analyzing Performance.html 8.8 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt 8.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/07. OpenAI Gym BlackJackEnv.html 8.8 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/06. Create Your Profile With SEO In Mind.html 8.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/12. Workspace - Introduction.html 8.7 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/08. Workspace - Introduction.html 8.7 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/08. (Optional) Challenge Play Soccer.html 8.6 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. A Basic Actor-Critic Agent.html 8.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/07. Not sure where to start.html 8.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/10. Reaching Out on LinkedIn.html 8.6 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/03. Get Access to GPU Instances.html 8.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL.html 8.5 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/Project Description - Continuous Control.html 8.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.zh-CN.vtt 8.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.pt-BR.vtt 8.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories.html 8.4 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/12. Vector Storage.html 8.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. Monte Carlo Methods.html 8.4 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/07. Math and Vectors.html 8.4 kB
  • assets/css/fonts/KaTeX_Size3-Regular.ttf 8.4 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/09. Collaborate!.html 8.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/Project Description - Navigation.html 8.3 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/10. Intermediate Variables.html 8.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.zh-CN.vtt 8.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.en.vtt 8.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/10. OpenAI Request for Research.html 8.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.en.vtt 8.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/11. OpenAI Gym CliffWalkingEnv.html 8.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/08. Collaborate!.html 8.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/18. Implementation.html 8.2 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. Coding Exercise.html 8.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.pt-BR.vtt 8.2 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. REINFORCE.html 8.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt 8.1 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment.html 8.1 kB
  • Part 02-Module 01-Lesson 04_Navigation/07. Not sure where to start.html 8.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/14. Multiple Outputs.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/01. Introducing Cezanne.html 8.1 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/06. Collaborate!.html 8.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. MC Prediction - Part 2.html 8.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/06. Notebook Visualizing a Convolutional Layer.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/13. Notebook Fashion MNIST Training Exercise.html 8.1 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/05. Project Instructions.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/22. Notebook Feature Viz for FashionMNIST.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/09. Notebook Visualizing a Pooling Layer.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/23. Notebook Visualize Your Net Layers.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/11. Notebook Visualizing FashionMNIST.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/14. Notebook FashionMNIST, Solution 1.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/16. Notebook FashionMNIST, Solution 2.html 8.1 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/01. Introduction.html 8.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1.html 8.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. Greedy Policies.html 8.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.pt-BR.vtt 8.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/17. Summary.html 8.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. Visualizing Activations.html 8.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/02. The Environment - Introduction.html 8.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/05. Project Instructions.html 8.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.en.vtt 8.0 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction.html 7.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Use Your Story to Stand Out.html 7.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/08. Community Guidelines.html 7.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example.html 7.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers.html 7.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1.html 7.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/11. Boost Your Visibility.html 7.9 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/08. Arm Sample.html 7.8 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2.html 7.8 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/08. For Loops.html 7.8 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. Introduction.html 7.8 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/04. Project Instructions.html 7.8 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/02. The Environment - Introduction.html 7.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/07. Outputting to Text Files.html 7.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/08. Exercises.html 7.8 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. The Big Picture.html 7.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.pt-BR.vtt 7.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/10. Mini Project DP (Parts 0 and 1).html 7.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/13. Mini Project DP (Part 2).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/16. Mini Project DP (Part 3).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/19. Mini Project DP (Part 4).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/22. Mini Project DP (Part 5).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/25. Mini Project DP (Part 6).html 7.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/03. Elecia White.html 7.7 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/03. The Environment - Real World.html 7.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. Feedforward.html 7.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/06. Coding Exercise.html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.en.vtt 7.7 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. AlphaZero Preview.html 7.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.7 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/05. Benchmark Implementation.html 7.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages.html 7.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. First Convolutional Layer.html 7.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2.html 7.6 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/08. Other Facets of C++ Classes.html 7.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.pt-BR.vtt 7.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. Feature Visualization.html 7.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. More Black-Box Optimization.html 7.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers.html 7.6 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction.html 7.6 kB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction to Compilation.html 7.5 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.en.vtt 7.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation.html 7.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. Feature Maps.html 7.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Create Your Elevator Pitch.html 7.5 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/08. General Advice.html 7.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/05. Play Tennis!.html 7.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.pt-BR.vtt 7.5 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/Project Description - Collaboration and Competition.html 7.5 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson TX2.html 7.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt 7.5 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. Coding Exercise.html 7.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.pt-BR.vtt 7.5 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/03. Beyond REINFORCE.html 7.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/04. Quiz Space Representations.html 7.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/17. Next Steps.html 7.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. Regularization.html 7.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Description - Improve Your LinkedIn Profile.html 7.4 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.pt-BR.vtt 7.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.en.vtt 7.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/08. Deep Q-Learning Improvements.html 7.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. Hill Climbing Pseudocode.html 7.4 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/01. Unity ML-Agents.html 7.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/12. Up Next.html 7.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation.html 7.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration.html 7.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects.html 7.4 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE (code walkthrough).html 7.4 kB
  • Part 01-Module 01-Lesson 12_What's Next/01. Congratulations!.html 7.4 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. Baselines and Critics.html 7.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method, Part 1.html 7.4 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/02. Lesson Preview.html 7.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.en.vtt 7.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement.html 7.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return.html 7.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration.html 7.3 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. DDPG Deep Deterministic Policy Gradient, Continuous Actions.html 7.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration.html 7.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items.html 7.3 kB
  • Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL for Robotics.html 7.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/01. Unity ML-Agents.html 7.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction.html 7.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter.html 7.3 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/09. What's Next.html 7.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/02. Introducing PyTorch.html 7.3 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. Problem Setup.html 7.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/06. Exercise Discretization.html 7.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.en.vtt 7.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. Beyond Hill Climbing.html 7.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/09. Exercise Tile Coding.html 7.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. C++ for Robotics.html 7.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa.html 7.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions.html 7.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Q-Learning.html 7.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2.html 7.2 kB
  • Part 02-Module 01-Lesson 04_Navigation/03. The Environment - Play.html 7.2 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. Summary.html 7.2 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/01. Unity ML-Agents.html 7.1 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. pong with PPO (code walkthrough).html 7.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. Hill Climbing.html 7.1 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/07. Test the Instance.html 7.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.zh-CN.vtt 7.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2.html 7.1 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.en.vtt 7.1 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.zh-CN.vtt 7.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/13. Coding Exercise.html 7.1 kB
  • Part 02-Module 01-Lesson 01_Study Plan/01. Study Plan.html 7.0 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. PPO summary.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3.html 7.0 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. A3C Asynchronous Advantage Actor-Critic, Off- vs On-policy.html 7.0 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Advanced TicTacToe using AlphaZero.html 7.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/08. Coding Exercise.html 7.0 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository.html 7.0 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications.html 7.0 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff 7.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.en.vtt 7.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. MC Prediction - Part 1.html 7.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/15. MADDPG - Lab.html 7.0 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 6.9 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/04. Your Udacity Professional Profile.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/18. Exercise Static Keyword.html 6.9 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/07. Exercise If Statements.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/15. Exercise References.html 6.9 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 6.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 6.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes #1.html 6.9 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/06. Login to the Instance.html 6.9 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. GAE Generalized Advantage Estimation.html 6.9 kB
  • Part 02-Module 01-Lesson 04_Navigation/06. Benchmark Implementation.html 6.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/10. Quiz Action-Value Functions.html 6.9 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/01. Introducing Luis.html 6.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. Almgren and Chriss Model.html 6.8 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. A3C Asynchronous Advantage Actor-Critic, Parallel Training.html 6.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. The Efficient Frontier.html 6.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions.html 6.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/diagonal-line-2.png 6.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/10. Workspace.html 6.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/18. Workspace.html 6.8 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. DDPG Deep Deterministic Policy Gradient, Soft Updates.html 6.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/05. Input and Output.html 6.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. Trading Lists.html 6.7 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. A3C Asynchronous Advantage Actor-Critic, N-step.html 6.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction.html 6.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.en.vtt 6.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 6.7 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions.html 6.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Forge on!.html 6.7 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff 6.7 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. Policy-based, Value-Based, and Actor-Critic.html 6.7 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. Two Ways for Estimating Expected Returns.html 6.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/14. Workspace.html 6.7 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 6.7 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/03. Knowledge.html 6.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Meet the Careers Team.html 6.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 6.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/04. Apply Credits.html 6.6 kB
  • Part 03-Module 01-Lesson 01_Study Plan/01. Study Plan.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/07. Workspace Discretization.html 6.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/10. Workspace Tile Coding.html 6.6 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/12. DRL for Optimal Execution of Portfolio Transactions.html 6.6 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/10. 2D Vectors and For Loops.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.en.vtt 6.6 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. Connections to Supervised Learning.html 6.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. Loading Data Sets with Torchvision.html 6.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/07. Markov Games.html 6.6 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. A2C Advantage Actor-Critic.html 6.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks.html 6.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++.html 6.6 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Speed Challenge.html 6.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. Fashion-MNIST Exercise.html 6.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. Paper Description, Part 1.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Lesson Overview.html 6.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1.html 6.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Inference Validation.html 6.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited.html 6.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Defining Networks.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Training Networks.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Transfer Learning.html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. Bias and Variance.html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis.html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Code Walk-through.html 6.5 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/08. pong with REINFORCE (workspace).html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2C Code Walk-through.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. PyTorch Tensors.html 6.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt 6.5 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/14. pong with PPO (workspace).html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward.html 6.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Why Use an Elevator Pitch.html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. Motivation.html 6.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.pt-BR.vtt 6.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Overfitting and Underfitting.html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.pt-BR.vtt 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2.html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3.html 6.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.ar.vtt 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Saving and Loading Trained Networks.html 6.5 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff 6.5 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/03. Python Lists vs. C++ Vectors.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization.html 6.4 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/download.png 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Early Stopping.html 6.4 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Sebastian's Synchronization Story.html 6.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.zh-CN.vtt 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient.html 6.4 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/06. Student Resources.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate Decay.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization 2.html 6.4 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart.html 6.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.en.vtt 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima.html 6.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.en.vtt 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout.html 6.3 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/10. Workspace.html 6.3 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - walkthrough.html 6.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces.html 6.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation.html 6.3 kB
  • Part 01-Module 01-Lesson 12_What's Next/02. What can you do now.html 6.3 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/04. Student Hub.html 6.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/09. Workspace.html 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions.html 6.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.zh-CN.vtt 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization.html 6.2 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.en.vtt 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding.html 6.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/09. Workspace.html 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding.html 6.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.zh-CN.vtt 6.2 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/08. TicTacToe using AlphaZero - Workspace.html 6.2 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/07. Workspace.html 6.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/05. Udacity Workspace.html 6.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.pt-BR.vtt 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/09. Demo Binary Floats.html 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/11. Demo Stack vs Heap.html 6.1 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary.html 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/05. Demo Machine Code.html 6.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/09. Double DQN.html 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/08. Demo Binary.html 6.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.zh-CN.vtt 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. Cooperation, Competition, Mixed Environments.html 6.1 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/03. Access Your Career Portal.html 6.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. Why Policy-Based Methods.html 6.1 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/07. Workspace.html 6.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.pt-BR.vtt 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. Introduction to Multi-Agent Systems.html 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. Applications of Multi-Agent Systems.html 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. Motivation for Multi-Agent Systems.html 6.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction.html 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. Benefits of Multi-Agent Systems.html 6.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/10. Prioritized Experience Replay.html 6.0 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/07. Coding Exercise.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. Paper Description, Part 2.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. Research Topics.html 6.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.en.vtt 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. Introducing Chhavi.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. Approaches to MARL.html 6.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/01. Introducing Mat.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. Markov Games.html 6.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. Policy-Based Methods.html 6.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.zh-CN.vtt 5.9 kB
  • Part 04-Module 01-Lesson 01_Study Plan/01. Study Plan.html 5.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. Summary.html 5.9 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/jupyter-logo.png 5.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.pt-BR.vtt 5.9 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/08. Workspace.html 5.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.en.vtt 5.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/diagonal-line-1.png 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. Advantages of RL for Trading.html 5.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. Policy Function Approximation.html 5.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation.html 5.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/11. Dueling DQN.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. Optimal Liquidation Problem - Part 4 - Expected Shortfall.html 5.9 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.zh-CN.vtt 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. Challenges of Supervised Learning.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/06. Optimal Liquidation Problem - Part 2 - Market Impact.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/05. Optimal Liquidation Problem - Part 1 - Introduction.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/07. Optimal Liquidation Problem - Part 3 - Price Model.html 5.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/index.html 5.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.zh-CN.vtt 5.9 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/02. Create an AWS Account.html 5.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt 5.9 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.en.vtt 5.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.zh-CN.vtt 5.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. High Frequency Trading.html 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example.html 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies.html 5.8 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff2 5.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/01. Introduction.html 5.8 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling.html 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality.html 5.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.en.vtt 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies.html 5.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.zh-CN.vtt 5.8 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.en.vtt 5.7 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. AlphaZero 2 Self-Play Training.html 5.7 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search.html 5.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary.html 5.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/01. Overview.html 5.7 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/12. Next Lesson.html 5.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt 5.6 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources.html 5.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction.html 5.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. Empathize with the Computer.html 5.6 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game.html 5.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. Outro.html 5.6 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.pt-BR.vtt 5.6 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff2 5.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.en.vtt 5.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.en.vtt 5.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/index.html 5.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/04. GitHub Repository.html 5.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/02. Reference Guide.html 5.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/05. AWS Credits.html 5.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.en.vtt 5.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.pt-BR.vtt 5.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.en.vtt 5.5 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/01. What It Takes.html 5.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.pt-BR.vtt 5.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.zh-CN.vtt 5.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.pt-BR.vtt 5.4 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.en.vtt 5.4 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/01. FAQ.html 5.4 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/03. Mini Project.html 5.3 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/02. Reviews.html 5.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.ar.vtt 5.3 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome to the Deep Reinforcement Learning Nanodegree.html 5.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.pt-BR.vtt 5.3 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/01. Overview.html 5.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/index.html 5.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction.html 5.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL in the Real World.html 5.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.pt-BR.vtt 5.2 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff2 5.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. Introduction.html 5.2 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/index.html 5.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. Summary.html 5.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.zh-CN.vtt 5.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/index.html 5.1 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.en.vtt 5.1 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/index.html 5.1 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.en.vtt 5.0 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/02. Support.html 5.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/index.html 4.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/index.html 4.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.zh-CN.vtt 4.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.en.vtt 4.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.zh-CN.vtt 4.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.en.vtt 4.9 kB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.en.vtt 4.9 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt 4.8 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.en.vtt 4.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/index.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/index.html 4.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.en.vtt 4.8 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff 4.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/index.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/index.html 4.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.7 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.en.vtt 4.7 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/index.html 4.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.pt-BR.vtt 4.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.en.vtt 4.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.en.vtt 4.7 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/index.html 4.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/index.html 4.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt 4.7 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.es-MX.vtt 4.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/index.html 4.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.en.vtt 4.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt 4.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.pt-BR.vtt 4.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.pt-BR.vtt 4.6 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.en.vtt 4.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.zh-CN.vtt 4.5 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/index.html 4.5 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.en.vtt 4.4 kB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.4 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.pt-BR.vtt 4.4 kB
  • Part 02-Module 01-Lesson 04_Navigation/index.html 4.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/index.html 4.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/index.html 4.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/index.html 4.3 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/index.html 4.3 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.pt-BR.vtt 4.3 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/index.html 4.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/maze.png 4.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.pt-BR.vtt 4.3 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/index.html 4.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.en.vtt 4.3 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/index.html 4.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/index.html 4.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.en.vtt 4.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt 4.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.zh-CN.vtt 4.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.2 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.pt-BR.vtt 4.1 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/index.html 4.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.zh-CN.vtt 4.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt 4.1 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/index.html 4.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/09. 10 Double DQN V2-PGCEMLujiGI.en.vtt 4.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt 4.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.en.vtt 4.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.zh-CN.vtt 4.0 kB
  • Part 08-Module 01-Lesson 03_Practical C++/index.html 4.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ar.vtt 4.0 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/index.html 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.zh-CN.vtt 4.0 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.pt-BR.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.zh-CN.vtt 3.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.en.vtt 3.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.zh-CN.vtt 3.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.zh-CN.vtt 3.9 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.pt-BR.vtt 3.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt 3.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt 3.9 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/index.html 3.9 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.en.vtt 3.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.zh-CN.vtt 3.9 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.en.vtt 3.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.en.vtt 3.9 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff2 3.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.en.vtt 3.9 kB
  • assets/css/styles.css 3.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.pt-BR.vtt 3.8 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/index.html 3.8 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/index.html 3.8 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.pt-BR.vtt 3.8 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt 3.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.zh-CN.vtt 3.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.en.vtt 3.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.pt-BR.vtt 3.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.zh-CN.vtt 3.6 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/index.html 3.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt 3.6 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/index.html 3.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.en.vtt 3.6 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/index.html 3.6 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/index.html 3.6 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/unknown.png 3.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.en.vtt 3.6 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.en.vtt 3.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt 3.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt 3.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.5 kB
  • Part 01-Module 01-Lesson 12_What's Next/index.html 3.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.pt-BR.vtt 3.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.zh-CN.vtt 3.5 kB
  • Part 02-Module 01-Lesson 01_Study Plan/index.html 3.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.pt-BR.vtt 3.5 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/index.html 3.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt 3.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.en.vtt 3.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt 3.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.en.vtt 3.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.en.vtt 3.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.zh-CN.vtt 3.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.pt-BR.vtt 3.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.zh-CN.vtt 3.4 kB
  • Part 03-Module 01-Lesson 01_Study Plan/index.html 3.4 kB
  • Part 04-Module 01-Lesson 01_Study Plan/index.html 3.4 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.zh-CN.vtt 3.4 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.en.vtt 3.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.zh-CN.vtt 3.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.pt-BR.vtt 3.4 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.en.vtt 3.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt 3.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.zh-CN.vtt 3.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 1-HYV0SP9wm7g.en.vtt 3.3 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.en.vtt 3.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.en.vtt 3.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.es-MX.vtt 3.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.pt-BR.vtt 3.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.pt-BR.vtt 3.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.en.vtt 3.2 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction-GCGqT2knFJ0.en.vtt 3.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.en.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.zh-CN.vtt 3.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.en.vtt 3.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.pt-BR.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt 3.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.zh-CN.vtt 3.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.zh-CN.vtt 3.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt 3.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.en.vtt 3.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.en.vtt 3.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.en.vtt 3.0 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.zh-CN.vtt 3.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.en.vtt 3.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt 3.0 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 3.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt 2.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.pt-BR.vtt 2.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.zh-CN.vtt 2.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.en.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.zh-CN.vtt 2.8 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods-ZwIg6LDMyuo.en.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.pt-BR.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.en.vtt 2.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.en.vtt 2.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. M3 L2 C02 V1-v8tGjlc2aG4.en.vtt 2.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.6 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.en.vtt 2.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.6 kB
  • Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.en.vtt 2.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.en.vtt 2.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.en.vtt 2.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.zh-CN.vtt 2.6 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt 2.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.zh-CN.vtt 2.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.pt-BR.vtt 2.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.en.vtt 2.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.en.vtt 2.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. M3 L2 C07 V3-2poDljPvY58.en.vtt 2.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt 2.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.pt-BR.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.pt-BR.vtt 2.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.en.vtt 2.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.pt-BR.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.4 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.en.vtt 2.4 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 2-U_CV-UC9G2c.en.vtt 2.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ar.vtt 2.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ar.vtt 2.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.3 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.zh-CN.vtt 2.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.2 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.en.vtt 2.2 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt 2.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.pt-BR.vtt 2.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt 2.2 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/img/sigmoid-derivative.gif 2.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.en.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.en.vtt 2.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt 2.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt 2.1 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.en.vtt 2.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.zh-CN.vtt 2.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.en.vtt 2.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.en.vtt 2.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.en.vtt 2.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.en.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.zh-CN.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 2.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt 2.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt 2.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt 2.0 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 2.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt 1.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.en.vtt 1.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.pt-BR.vtt 1.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt 1.9 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.en.vtt 1.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.en.vtt 1.9 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.zh-CN.vtt 1.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.en.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.pt-BR.vtt 1.8 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.en.vtt 1.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. M3 L2 C05 V1-0XzzqIXyax0.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.en.vtt 1.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt 1.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/11. 10 Dueling DQN V2-zZeHbPs39Ls.en.vtt 1.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt 1.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 03 Transitioning-BvDvxw8e0CY.en.vtt 1.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.en.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.en.vtt 1.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.zh-CN.vtt 1.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.en.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.en.vtt 1.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.en.vtt 1.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.en.vtt 1.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment-tfZw1moB25Y.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.en.vtt 1.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt 1.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.pt-BR.vtt 1.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt 1.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.en.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt 1.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt 1.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.zh-CN.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.pt-BR.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. L601 Intro RENDER V2-3H5x0lstvmo.en.vtt 1.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.en.vtt 1.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt 1.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.zh-CN.vtt 1.3 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction-sokSgNtGj9Y.en.vtt 1.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.en.vtt 1.3 kB
  • Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.3 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.en.vtt 1.3 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.3 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.en.vtt 1.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.en.vtt 1.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.zh-CN.vtt 1.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.en.vtt 1.2 kB
  • Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.zh-CN.vtt 1.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.pt-BR.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.en.vtt 1.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.en.vtt 1.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 Bytes
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.en.vtt 914 Bytes
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.zh-CN.vtt 883 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 Bytes
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.pt-BR.vtt 866 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 Bytes
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.en.vtt 830 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.en.vtt 824 Bytes
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.en.vtt 823 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 Bytes
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt 770 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 Bytes
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt 726 Bytes
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.zh-CN.vtt 718 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt 705 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 Bytes
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.en.vtt 500 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt 476 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.en.vtt 466 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes
  • [CourseClub.NET].url 123 Bytes
  • [DesireCourse.Com].url 51 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>