Torrent Contents Size: 1.9 GB
Udemy - Curiosity Driven Deep Reinforcement Learning
▼ show more 43 files
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1. A Brief Review of Deep Reinforcement Learning and Actor Critic Methods.mp4
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MP4
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86.3 MB
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1. A Brief Review of Deep Reinforcement Learning and Actor Critic Methods.srt
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SRT
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13.7 KB
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1. How to Read and Implement Research Papers.mp4
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MP4
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61.3 MB
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1. How to Read and Implement Research Papers.srt
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SRT
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10.8 KB
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1. Paper Overview.mp4
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9.5 MB
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1. Paper Overview.srt
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2.1 KB
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1. What You Will Learn in this Course.mp4
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51.6 MB
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1. What You Will Learn in this Course.srt
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8.5 KB
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1.1 A3C Paper.html
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HTML
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102.4 B
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1.1 The ICM Paper.html
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HTML
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102.4 B
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10. A3C Paper Experiments and Discussion.mp4
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MP4
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101.3 MB
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10. A3C Paper Experiments and Discussion.srt
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SRT
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16.8 KB
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11. How to Modify the Open AI Gym Atari Environments.mp4
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MP4
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163.3 MB
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11. How to Modify the Open AI Gym Atari Environments.srt
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SRT
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21.2 KB
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11.1 Open AI Gym Wrapper Documentation.html
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HTML
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102.4 B
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12. Coding Our Main Loop and Evaluating Our Agent.mp4
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MP4
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228.4 MB
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12. Coding Our Main Loop and Evaluating Our Agent.srt
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SRT
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28.4 KB
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2. A3C Paper Abstract and Introduction.mp4
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MP4
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39.4 MB
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2. A3C Paper Abstract and Introduction.srt
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SRT
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6.6 KB
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2. Code Review of Basic Actor Critic Agent.mp4
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MP4
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71.7 MB
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2. Code Review of Basic Actor Critic Agent.srt
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SRT
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13.6 KB
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2. How to Succeed in this Course.mp4
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MP4
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33.5 MB
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2. How to Succeed in this Course.srt
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6 KB
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2. ICM Paper Abstract and Introduction.mp4
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MP4
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74.7 MB
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2. ICM Paper Abstract and Introduction.srt
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SRT
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11.5 KB
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2.1 Course github.html
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HTML
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102.4 B
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3. A Crash Course in Asynchronous Advantage Actor Critic Methods.mp4
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MP4
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46.8 MB
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3. A Crash Course in Asynchronous Advantage Actor Critic Methods.srt
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SRT
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8.2 KB
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3. Crash Course in Parallel Processing in Python.mp4
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MP4
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84.3 MB
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3. Crash Course in Parallel Processing in Python.srt
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SRT
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14 KB
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3. ICM Paper Curiosity Driven Exploration.mp4
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79.1 MB
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3. ICM Paper Curiosity Driven Exploration.srt
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12.7 KB
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3. Required Background, Software, and Hardware.mp4
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MP4
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26.3 MB
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3. Required Background, Software, and Hardware.srt
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SRT
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4.9 KB
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4. A3C Paper Related Work, Reinforcement Learning Background.mp4
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MP4
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19.3 MB
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4. A3C Paper Related Work, Reinforcement Learning Background.srt
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8.3 KB
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4. Experimental Setup and Coding Our ICM Module.mp4
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MP4
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232.7 MB
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4. Experimental Setup and Coding Our ICM Module.srt
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SRT
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28.4 KB
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4. Our Code Structure.mp4
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4.7 MB
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4. Our Code Structure.srt
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SRT
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2.4 KB
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5. A3C Paper The Asynchronous Reinforcement Learning Framework.mp4
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MP4
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86.1 MB
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5. A3C Paper The Asynchronous Reinforcement Learning Framework.srt
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SRT
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12.7 KB
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5. ICM Paper Experiments, Related Work, and Discussion.mp4
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MP4
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111 MB
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5. ICM Paper Experiments, Related Work, and Discussion.srt
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SRT
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19.2 KB
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6. Coding our Actor Critic Network.mp4
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MP4
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96.7 MB
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6. Coding our Actor Critic Network.srt
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SRT
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12.6 KB
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6. Setting Up the Mini World and Training Our ICM Agent.mp4
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MP4
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82.1 MB
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6. Setting Up the Mini World and Training Our ICM Agent.srt
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SRT
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9.4 KB
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6.1 The MiniWorld Github.html
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HTML
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102.4 B
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7. Learning with Generalized Advantage Estimation.mp4
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MP4
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114.8 MB
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7. Learning with Generalized Advantage Estimation.srt
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SRT
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16 KB
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8. Coding a Minimalist Replay Memory.mp4
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MP4
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19.4 MB
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8. Coding a Minimalist Replay Memory.srt
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SRT
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3.7 KB
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9. Coding the Shared Adam Optimizer.mp4
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MP4
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13.8 MB
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9. Coding the Shared Adam Optimizer.srt
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2.8 KB
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9.1 Morvan Zhou's implementation of A3C.html
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HTML
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102.4 B
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Bonus Resources.txt
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TXT
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307.2 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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