Reinforcement Learning for Gaming | Full Python Course in 9 Hours

Ever wanted to learn how to apply ML to games? Here ya go! What’s happening team! This is a compilation of the RL tutorials for gaming in one mega course. In this course, you’ll learn an absolute TON about best practices when training reinforcement learning models for games using Python and Stable Baselines 3. Chapters 0:00 - START 1:07 - MARIO 3:03 - Mario Mission 1 - Setup Mario 21:49 - Mario Mission 2 - Preprocess Environment 43:51 - Mario Mission 3 - Build the RL Model 1:03:47 - Mario Mission 4 - Run the RL Model Live 1:18:13 - DOOM 1:20:00 - Doom Mission 1 - Get Vizdoom Working 1:44:34 - Doom Mission 2 - Setup OpenAI Gym Environment 2:27:30 - Doom Mission 3 - Train the RL Agent 3:03:41 - Doom Mission 4 - Test the RL Agent 3:14:03 - Doom Mission 5 - Training for Other Levels 3:34:27 - Doom Mission 6 - Curriculum Learning and Reward Shaping 4:34:43 - STREETFIGHTER 4:36:16 - Streetfighter Mission 1 - Setup Streetfighter 5