Gym Environments Python Packages

mo-gymnasium

Multi-objective Gymnasium environments for reinforcement learning

grid2op

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

bark-ml

Gym Environments and Agents for Autonomous Driving

pyrddlgym

A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.

rddlgym

rddlgym: A toolkit for working with RDDL domains in Python3.

rddlrepository

Hosts domain and instance RDDL files, covering problems from a wide range of disciplines, integration with the pyRDDLGym ecosystem.

3d-connectx-env

3D ConnectX for OpenAI Gym.

deformable-gym

A collection of RL gymnasium environments for learning to grasp 3D deformable objects.

gym-anm

A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

rlschool

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

rsoccer-gym

SSL and VSS robot soccer gym environments

metagym

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

simpleenvs

A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.

gym-games

A collection of Gymnasium compatible games for reinforcement learning.

rlpack

Implementation of RL Algorithms with PyTorch.

pypownet

A power network simulator with a Reinforcement Learning-focused usage.

gym-raas

OpenAI gym environments for RaaS