stable-retro

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

Comparing Behaviour Trees and Deep Reinforcement Learning for Fighting AI

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.

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

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

Cookiecutter template for retro reinforcement learning projects using Stable Retro, Gymnasium and Stable-Baselines3 PPO.

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

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.

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.

An agent that learns to play NES games from pixels and sound alone — the emulator's memory is off limits to the policy. Motion-based object tracking, on-screen counter reading, world model, planner, cross-game transfer.