gym

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

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

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

🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

Flutter fitness/workout app for wger

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Long-Term Evolution Project of Reinforcement Learning

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Sokoban environment for OpenAI Gym

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL