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

Comparing Behaviour Trees and Deep Reinforcement Learning for Fighting AI

RL environment for the 2005 GBA game 'Hot Wheels Stunt Track Challenge'

In-house Mortal Kombat tournament environment based on stable-retro

PPO reinforcement-learning agents that learn to play classic games from scratch - DOOM, Pokemon Red, and Street Fighter II - one standalone trainer per branch. Experimental R&D; bring your own ROMs.

Reinforcement Learning project training PPO agents on Atari, Retro (Sonic, Mario) or classic environments using Stable Baselines 3, featuring dataset generation and WanDB experiment tracking.

A reinforcement learning A3C implementation trained to play Super Mario Bros

Reinforcement learning agent for Street Fighter II using PPO, trained with stable-retro and Stable-Baselines3

Train a PPO agent to play Super Mario Bros using Stable-Baselines3 on stable-retro.

Deep Q-Networks for Super Mario Bros 3, from a beginner-friendly basic implementation to advanced Rainbow-style improvements.