Modern Reinforcement Learning Deep Q Learning in PyTorch

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Modern Reinforcement Learning Deep Q Learning in PyTorch
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Torrent File Content (87 files)

Modern Reinforcement Learning- Deep Q Learning in PyTorch
04 Human Level Control Through Deep Reinforcement Learning From Paper to Code
018 Analyzing the Paper.mp4 -

279.17 MB

Visit Coursedrive.org.url -

124 bytes

ReadMe.txt -

220 bytes

Visit Coursedrive.org.url -

124 bytes

01 Introduction
001 What You Will Learn In This Course.en.srt -

7.12 KB

001 What You Will Learn In This Course.mp4 -

29.02 MB

002 Required Background software and hardware.en.srt -

5.69 KB

002 Required Background software and hardware.mp4 -

23.68 MB

003 How to Succeed in this Course.en.srt -

8.24 KB

003 How to Succeed in this Course.mp4 -

105.19 MB

02 Fundamentals of Reinforcement Learning
004 Agents Environments and Actions.en.srt -

13.48 KB

004 Agents Environments and Actions.mp4 -

57.77 MB

005 Markov Decision Processes.en.srt -

16.2 KB

005 Markov Decision Processes.mp4 -

60.48 MB

006 Value Functions Action Value Functions and the Bellman Equation.en.srt -

12.16 KB

006 Value Functions Action Value Functions and the Bellman Equation.mp4 -

47.17 MB

007 Model Free vs. Model Based Learning.en.srt -

5.34 KB

007 Model Free vs. Model Based Learning.mp4 -

25.29 MB

008 The Explore-Exploit Dilemma.en.srt -

8.04 KB

008 The Explore-Exploit Dilemma.mp4 -

37.87 MB

009 Temporal Difference Learning.en.srt -

23.4 KB

009 Temporal Difference Learning.mp4 -

129.49 MB

03 Deep Learning Crash Course
010 Dealing with Continuous State Spaces with Deep Neural Networks.en.srt -

24.28 KB

010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 -

105.27 MB

011 Naive Deep Q Learning in Code Step 1 - Coding the Deep Q Network.en.srt -

8.66 KB

011 Naive Deep Q Learning in Code Step 1 - Coding the Deep Q Network.mp4 -

44.16 MB

012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.en.srt -

9.22 KB

012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 -

60.14 MB

013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.en.srt -

6.26 KB

013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 -

45.75 MB

014 Naive Deep Q Learning in Code Step 4 - Verifying the Functionality of Our Code.en.srt -

1.7 KB

014 Naive Deep Q Learning in Code Step 4 - Verifying the Functionality of Our Code.mp4 -

18.73 MB

015 Naive Deep Q Learning in Code Step 5 - Analyzing Our Agents Performance.en.srt -

4.37 KB

015 Naive Deep Q Learning in Code Step 5 - Analyzing Our Agents Performance.mp4 -

18.92 MB

016 Dealing with Screen Images with Convolutional Neural Networks.en.srt -

5.87 KB

016 Dealing with Screen Images with Convolutional Neural Networks.mp4 -

19.76 MB

04 Human Level Control Through Deep Reinforcement Learning From Paper to Code
017 How to Read Deep Learning Papers.en.srt -

11.54 KB

017 How to Read Deep Learning Papers.mp4 -

49.72 MB

018 Analyzing the Paper.en.srt -

31.69 KB

ReadMe.txt -

220 bytes

019 How to Modify the OpenAI Gym Atari Environments.en.srt -

18.92 KB

019 How to Modify the OpenAI Gym Atari Environments.mp4 -

81.79 MB

020 How to Preprocess the OpenAI Gym Atari Screen Images.en.srt -

1.68 KB

020 How to Preprocess the OpenAI Gym Atari Screen Images.mp4 -

18.55 MB

021 How to Stack the Preprocessed Atari Screen Images.en.srt -

2.14 KB

021 How to Stack the Preprocessed Atari Screen Images.mp4 -

24.53 MB

022 How to Combine All the Changes.en.srt -

1.41 KB

022 How to Combine All the Changes.mp4 -

9.23 MB

023 How to Add Reward Clipping Fire First and No Ops.en.srt -

4.81 KB

023 How to Add Reward Clipping Fire First and No Ops.mp4 -

30.62 MB

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Modern Reinforcement Learning Deep Q Learning in PyTorch

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