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Pluralsight Understanding Algorithms for Reinforcement Learning
磁力链接/BT种子名称
Pluralsight Understanding Algorithms for Reinforcement Learning
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430be7ac24eff3d791d9146490135b8499d30c25
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231.69M
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2448
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极快
收录时间:
2018-09-20
最近下载:
2024-12-25
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文件列表
04.Using Reinforcement Learning Platforms/0406.Demo Q-learning to Balance a Pole on a Cart Simulation.mp4
15.5 MB
01.Course Overview/0101.Course Overview.srt
2.9 kB
02.Understanding the Reinforcement Learning Problem/0201.Module Overview .mp4
3.0 MB
02.Understanding the Reinforcement Learning Problem/0201.Module Overview .srt
2.6 kB
02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.mp4
3.6 MB
02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.srt
3.9 kB
02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.mp4
7.5 MB
02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.srt
7.8 kB
02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.mp4
11.4 MB
02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.srt
9.7 kB
02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4
5.7 MB
02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.srt
3.7 kB
02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.mp4
9.8 MB
02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.srt
9.6 kB
02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.mp4
4.1 MB
02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.srt
4.9 kB
02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.mp4
11.0 MB
02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.srt
11.0 kB
02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.mp4
6.2 MB
02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.srt
6.3 kB
03.Implementing Reinforcement Learning Algorithms/0301.Module Overview.mp4
1.9 MB
03.Implementing Reinforcement Learning Algorithms/0301.Module Overview.srt
1.9 kB
03.Implementing Reinforcement Learning Algorithms/0302.Dynamic Programming.mp4
5.0 MB
03.Implementing Reinforcement Learning Algorithms/0302.Dynamic Programming.srt
4.0 kB
03.Implementing Reinforcement Learning Algorithms/0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.mp4
14.0 MB
03.Implementing Reinforcement Learning Algorithms/0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.srt
9.7 kB
03.Implementing Reinforcement Learning Algorithms/0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.mp4
12.1 MB
03.Implementing Reinforcement Learning Algorithms/0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.srt
7.4 kB
03.Implementing Reinforcement Learning Algorithms/0305.Policy Search Techniques Q-learning and SARSA.mp4
3.6 MB
03.Implementing Reinforcement Learning Algorithms/0305.Policy Search Techniques Q-learning and SARSA.srt
3.5 kB
03.Implementing Reinforcement Learning Algorithms/0306.Intuition Behind Q-learning.mp4
15.2 MB
03.Implementing Reinforcement Learning Algorithms/0306.Intuition Behind Q-learning.srt
12.5 kB
03.Implementing Reinforcement Learning Algorithms/0307.Q-learning Using the Temporal Difference Method and SARSA.mp4
8.3 MB
03.Implementing Reinforcement Learning Algorithms/0307.Q-learning Using the Temporal Difference Method and SARSA.srt
8.1 kB
03.Implementing Reinforcement Learning Algorithms/0308.Exploring State Space.mp4
12.3 MB
03.Implementing Reinforcement Learning Algorithms/0308.Exploring State Space.srt
10.2 kB
03.Implementing Reinforcement Learning Algorithms/0309.Demo Q-learning for Shortest Path Initialization.mp4
9.7 MB
03.Implementing Reinforcement Learning Algorithms/0309.Demo Q-learning for Shortest Path Initialization.srt
6.6 kB
03.Implementing Reinforcement Learning Algorithms/0310.Demo Q-learning for Shortest Path Implementation.mp4
13.0 MB
03.Implementing Reinforcement Learning Algorithms/0310.Demo Q-learning for Shortest Path Implementation.srt
7.0 kB
03.Implementing Reinforcement Learning Algorithms/0311.Intuitive Differences Between the Temporal Difference Method and SARSA.mp4
7.0 MB
03.Implementing Reinforcement Learning Algorithms/0311.Intuitive Differences Between the Temporal Difference Method and SARSA.srt
5.1 kB
03.Implementing Reinforcement Learning Algorithms/0312.Q-values as a Memoization Technique.mp4
5.6 MB
03.Implementing Reinforcement Learning Algorithms/0312.Q-values as a Memoization Technique.srt
3.7 kB
04.Using Reinforcement Learning Platforms/0401.Module Overview.mp4
1.8 MB
04.Using Reinforcement Learning Platforms/0401.Module Overview.srt
1.7 kB
04.Using Reinforcement Learning Platforms/0402.Exploring Reinforcement Learning Platforms.mp4
12.5 MB
04.Using Reinforcement Learning Platforms/0402.Exploring Reinforcement Learning Platforms.srt
5.9 kB
04.Using Reinforcement Learning Platforms/0403.Exploring Environments in the Open AI Gym.mp4
7.5 MB
04.Using Reinforcement Learning Platforms/0403.Exploring Environments in the Open AI Gym.srt
4.3 kB
04.Using Reinforcement Learning Platforms/0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.mp4
15.1 MB
04.Using Reinforcement Learning Platforms/0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.srt
9.6 kB
04.Using Reinforcement Learning Platforms/0405.Demo Q-learning to Balance a Pole on a Cart.mp4
13.0 MB
04.Using Reinforcement Learning Platforms/0405.Demo Q-learning to Balance a Pole on a Cart.srt
7.6 kB
01.Course Overview/0101.Course Overview.mp4
5.0 MB
04.Using Reinforcement Learning Platforms/0406.Demo Q-learning to Balance a Pole on a Cart Simulation.srt
9.5 kB
04.Using Reinforcement Learning Platforms/0407.Summary and Further Study.mp4
2.6 MB
04.Using Reinforcement Learning Platforms/0407.Summary and Further Study.srt
3.1 kB
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