Build a Doom AI Model with Python - Gaming Reinforcement Learning Full Course

Build a Doom AI Model with Python - Gaming Reinforcement Learning Full Course

Nicholas Renotte via YouTube Direct link

- CLIENT CONVERSATION 2

8 of 27

8 of 27

- CLIENT CONVERSATION 2

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Classroom Contents

Build a Doom AI Model with Python - Gaming Reinforcement Learning Full Course

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  1. 1 - Start
  2. 2 - Introduction
  3. 3 - Explainer
  4. 4 - CLIENT CONVERSATION 1
  5. 5 - Animation 1
  6. 6 - Tutorial Kickoff
  7. 7 - Getting VizDoom up and running
  8. 8 - CLIENT CONVERSATION 2
  9. 9 - Animation 2
  10. 10 - Creating an OpenAI Gym Environment
  11. 11 - CLIENT CONVERSATION 3
  12. 12 - Animation 3
  13. 13 - Setup Training Callback
  14. 14 - Train the RL model
  15. 15 - CLIENT CONVERSATION 4
  16. 16 - Testing the Agent
  17. 17 - BASIC LEVEL AI RESULTS
  18. 18 - CLIENT CONVERSATION 5
  19. 19 - Animation 4
  20. 20 - Changing Levels
  21. 21 - DEFEND CENTER LEVEL AI RESULTS
  22. 22 - CLIENT CONVERSATION 6
  23. 23 - Reward shaping
  24. 24 - Curriculum Learning
  25. 25 - DEADLY CORRIDOR LEVEL AI RESULTS
  26. 26 - FINAL CLIENT CALL
  27. 27 - Wrap up

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