❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 21st, 2023]

This 9-hour course provides an in-depth overview of Reinforcement Learning (RL) for gaming using Python and Stable Baselines 3. It covers best practices for training RL models for games, and includes tutorials for Mario, Doom, and Streetfighter. Participants will learn how to preprocess environments, build RL models, run the RL model live, train for other levels, and use curriculum learning and reward shaping. They will also learn how to install and setup dependencies, create a custom OpenAI Gym environment, train the RL model, and get the model to smash Chrome Dino. At the end of the course, participants will have a comprehensive understanding of RL for gaming.