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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

corl

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

dcpg

Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)

dqn

Implements a Double Dueling Deep Q-Network (DQN) in PyTorch

four_room

A simple 4-room grid world environment to test generalisation behaviour of RL agents.

lever-game

Implements the Lever Coordination Game and shows that the other-play learning algorithm outperforms basic self-play and league-play agents in the zero-shot coordination scenario.

offline-sac_n

orchest

A new kind of IDE for Data Science.

pathtracer

A multi-threaded implementation of a Path Tracer in C++.

ppo

Implementation of a multiprocessing Proximal Policy Optimization (PPO) algorithm on the BidepalWalker OpenAI Gym environment.

roboleague

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tetris-rl

Reinforcement learning project for Tetris.