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