Jordan Terry

A toolkit for developing and comparing reinforcement learning algorithms.

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

A collection of reference environments for offline reinforcement learning

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

A PyTorch library for building deep reinforcement learning agents.