morl-baselines

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

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.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros