Reinforcement learning library with support for pcsx2 and opengl, among other cores.

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.