MO-Gymnasium

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

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

Self hosted FLOSS fitness/workout, nutrition and weight tracker

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

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Reinforcement Learning environments based on the 1993 game Doom :godmode:

Clean PyTorch implementations of imitation and reward learning algorithms

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

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

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.