Reinforcement Learning for Gaming - Full Python Course

Reinforcement Learning for Gaming - Full Python Course

Nicholas Renotte via YouTube Direct link

- Doom Mission 2 - Setup OpenAI Gym Environment

9 of 25

9 of 25

- Doom Mission 2 - Setup OpenAI Gym Environment

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Classroom Contents

Reinforcement Learning for Gaming - Full Python Course

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  1. 1 - START
  2. 2 - MARIO
  3. 3 - Mario Mission 1 - Setup Mario
  4. 4 - Mario Mission 2 - Preprocess Environment
  5. 5 - Mario Mission 3 - Build the RL Model
  6. 6 - Mario Mission 4 - Run the RL Model Live
  7. 7 - DOOM
  8. 8 - Doom Mission 1 - Get Vizdoom Working
  9. 9 - Doom Mission 2 - Setup OpenAI Gym Environment
  10. 10 - Doom Mission 3 - Train the RL Agent
  11. 11 - Doom Mission 4 - Test the RL Agent
  12. 12 - Doom Mission 5 - Training for Other Levels
  13. 13 - Doom Mission 6 - Curriculum Learning and Reward Shaping
  14. 14 - STREETFIGHTER
  15. 15 - Streetfighter Mission 1 - Setup Streetfighter
  16. 16 - Streetfighter Mission 2 - Preprocessing
  17. 17 - Streetfighter Mission 3 - Hyperparameter Tuning
  18. 18 - Streetfighter Mission 4 - Fine Tune the Model
  19. 19 - Streetfighter Mission 5 - Testing the Model
  20. 20 - DINO
  21. 21 - Dino Mission 1 - Install and Setup Dependencies
  22. 22 - Dino Mission 2 - Create a Custom OpenAI Gym Environment
  23. 23 - Dino Mission 3 - Train the RL Model
  24. 24 - Dino Mission 4 - Get the Model to Smash Chrome Dino
  25. 25 - Wrap Up

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