Gym Open Source Projects

A toolkit for developing and comparing reinforcement learning algorithms.

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)

Self hosted FLOSS fitness/workout, nutrition and weight tracker

Deep Reinforcement Learning for Keras.

Repo for the Deep Reinforcement Learning Nanodegree program

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

📈 如何用深度强化学习自动炒股

Retro Games in Gym

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

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

MuZero

🌏 Live visualization of all the pokemon in your area... and more!

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Simple and easily configurable grid world environments for reinforcement learning

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

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

Author's PyTorch implementation of TD3 for OpenAI gym tasks

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

A large-scale benchmark and learning environment.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

:bar_chart: Codeforces CLI (Submit, Parse, Test, etc.). Support Contests, Gym, Groups, acmsguru, Windows, macOS, Linux, 7 MB

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

PFRL: a PyTorch-based deep reinforcement learning library

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

Research-focused C++23 physics engine for robotics, animation, and machine learning, with Python bindings

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Scalable, event-driven, deep-learning-friendly backtesting library

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

The NetHack Learning Environment

Efficient Batched Reinforcement Learning in TensorFlow

Evolution Strategies Tool

Flutter fitness/workout app for wger

Python library for Reinforcement Learning.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

leetcode.com , algoexpert.io solutions in python and swift

Unified Reinforcement Learning Framework

Code for the paper "Emergent Complexity via Multi-agent Competition"

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Multi-objective Gymnasium environments for reinforcement learning