A collection of hands-on notebooks focused on training AI agents using Reinforcement Learning and Imitation Learning. This repository is built around practical experiments, including training agents in games, testing different algorithms, and exploring real-world challenges like reward design, exploration, and stability.
game behavior machine-learning reinforcement-learning ai dagger artificial-intelligence gym imitation-learning gymnasium bc artificial-intelligence-algorithms imitation behaviour-cloning ai-play-game stable-baselines3 sdlarch-rl hg-dagger
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Updated
Apr 17, 2026 - Jupyter Notebook