[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python
[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python metadata, size 592.53 MB, 75 files, category video, indexed at 2026-0
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Infohash23814b5e3b355ce8da598b08b02dc855ceeb3160
总大小592.5 MB
格式mp4
分类视频
文件数75
发掘时间（北京时间）2026-08-21 05:54:56
最后活跃（北京时间）2026-08-21 05:54:56
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文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| 001 Introduction and outline.mp4 | mp4 | 10.1 MB |
| 002 What is Reinforcement Learning.mp4 | mp4 | 21.9 MB |
| 003 Where to get the Code.mp4 | mp4 | 4.4 MB |
| 004 Strategy for Passing the Course.mp4 | mp4 | 9.5 MB |
| 005 Problem Setup and The Explore-Exploit Dilemma.mp4 | mp4 | 6.5 MB |
| 006 Epsilon-Greedy.mp4 | mp4 | 2.8 MB |
| 007 Updating a Sample Mean.mp4 | mp4 | 2.2 MB |
| 008 Comparing Different Epsilons.mp4 | mp4 | 8.0 MB |
| 009 Optimistic Initial Values.mp4 | mp4 | 5.1 MB |
| 010 UCB1.mp4 | mp4 | 8.2 MB |
| 011 Bayesian Thompson Sampling.mp4 | mp4 | 15.2 MB |
| 012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 | mp4 | 10.6 MB |
| 013 Nonstationary Bandits.mp4 | mp4 | 7.5 MB |
| 014 Naive Solution to Tic-Tac-Toe.mp4 | mp4 | 6.1 MB |
| 015 Components of a Reinforcement Learning System.mp4 | mp4 | 12.7 MB |
| 016 Notes on Assigning Rewards.mp4 | mp4 | 4.2 MB |
| 017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 | mp4 | 26.1 MB |
| 018 Tic Tac Toe Code Outline.mp4 | mp4 | 5.0 MB |
| 019 Tic Tac Toe Code Representing States.mp4 | mp4 | 4.4 MB |
| 020 Tic Tac Toe Code Enumerating States Recursively.mp4 | mp4 | 9.8 MB |
| 021 Tic Tac Toe Code The Environment.mp4 | mp4 | 10.0 MB |
| 022 Tic Tac Toe Code The Agent.mp4 | mp4 | 9.0 MB |
| 023 Tic Tac Toe Code Main Loop and Demo.mp4 | mp4 | 9.4 MB |
| 024 Tic Tac Toe Summary.mp4 | mp4 | 8.3 MB |
| 025 Gridworld.mp4 | mp4 | 3.4 MB |
| 026 The Markov Property.mp4 | mp4 | 7.2 MB |
| 027 Defining and Formalizing the MDP.mp4 | mp4 | 6.6 MB |
| 028 Future Rewards.mp4 | mp4 | 5.2 MB |
| 029 Value Functions.mp4 | mp4 | 7.1 MB |
| 030 Optimal Policy and Optimal Value Function.mp4 | mp4 | 6.3 MB |
| 031 MDP Summary.mp4 | mp4 | 2.4 MB |
| 032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 | mp4 | 4.8 MB |
| 033 Gridworld in Code.mp4 | mp4 | 11.5 MB |
| 034 Iterative Policy Evaluation in Code.mp4 | mp4 | 12.1 MB |
| 035 Policy Improvement.mp4 | mp4 | 4.5 MB |
| 036 Policy Iteration.mp4 | mp4 | 3.1 MB |
| 037 Policy Iteration in Code.mp4 | mp4 | 7.6 MB |
| 038 Policy Iteration in Windy Gridworld.mp4 | mp4 | 9.1 MB |
| 039 Value Iteration.mp4 | mp4 | 6.2 MB |
| 040 Value Iteration in Code.mp4 | mp4 | 4.9 MB |
| 041 Dynamic Programming Summary.mp4 | mp4 | 8.3 MB |
| 042 Monte Carlo Intro.mp4 | mp4 | 5.0 MB |
| 043 Monte Carlo Policy Evaluation.mp4 | mp4 | 8.8 MB |
| 044 Monte Carlo Policy Evaluation in Code.mp4 | mp4 | 7.9 MB |
| 045 Policy Evaluation in Windy Gridworld.mp4 | mp4 | 7.8 MB |
| 046 Monte Carlo Control.mp4 | mp4 | 9.3 MB |
| 047 Monte Carlo Control in Code.mp4 | mp4 | 10.2 MB |
| 048 Monte Carlo Control without Exploring Starts.mp4 | mp4 | 4.6 MB |
| 049 Monte Carlo Control without Exploring Starts in Code.mp4 | mp4 | 8.0 MB |
| 050 Monte Carlo Summary.mp4 | mp4 | 5.7 MB |
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