Partially Observable Multi-Agent RL with Transformers

Simple Grid Environment for Gymnasium

A benchmark to test and compare your pcg algorithm against each other

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Simple gym environments for safety in Reinforcement Learning Research

Rainbow: Combining Improvements in Deep Reinforcement Learning

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