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0:00 - Intro
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Classroom Contents
Multi-Agent Reinforcement Learning - AI Navigation in Obstacle Courses
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- 1 0:00 - Intro
- 2 2:17 - Creating RL environments
- 3 6:23 - Local Coordinate Systems
- 4 8:30 - Rewards
- 5 10:24 - Actor Critic Methods
- 6 12:36 - Training single agent RL
- 7 13:38 - Independent PPO
- 8 15:40 - Non stationary environments
- 9 16:40 - Centralized Training Decentraized Execution CTDE
- 10 17:36 - Multi agent PPO MA-PPO
- 11 19:25 - Results!
