Reinforcement Learning Environments Python Packages

hud-python

OSS RL environment + evals toolkit

riichienv

High-Performance Research Environment for Riichi Mahjong

envpool

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

grid2op

Grid2Op a testbed platform to model sequential decision making in power systems.

pyflyt

UAV Flight Simulator for Reinforcement Learning Research

esquilax

JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library

verbs

Rust and Python Ethereum Agent Based Modelling Library

bourse

Rust Market Simulation Library with a Python API

bark-ml

Gym environments and agents for autonomous driving.

sinergym

Gym environment for building simulation and control using reinforcement learning

gym-trading-env

A simple, easy, customizable Open IA Gym environments for trading.

hrl-pybullet-envs

Locomotion HRL envs in pybullet

pynds

PyNDS: A Python Wrapper for the Nintendo DS Emulator

gfootball

Google Research Football - RL environment based on open-source game Gameplay Football

nemo-gym

NeMo Gym is a library for building reinforcement learning environments

simfire

An open-source wildfire simulator written in Python and meant to be used to train reinforcement learning (RL) agents.

target-gym

A reinforcement learning environment for simulating target-MDP environments (Airplane, Car, Process Control), with gymnasium and gymnax support

ai-economist

Foundation: An Economics Simulation Framework

helx

Interoperating between (Deep) Reiforcement Learning libraries

jaxarc

A High-Throughput JAX-native Environment for Abstraction and Reasoning Research

beobench

A toolkit providing easy and unified access to building control environments for reinforcement learning (RL) [No longer actively maintained]

ns-gym

A framework for modeling non-stationary Markov decision processes and the key decision making problems in these environments

arcle

An ARC Learning Environment built on Gymnasium

hydrogym

An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.