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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.

rddlrepository

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

rddlgym

A toolkit for working with RDDL domains in Python3.

3d-connectx-env

3D ConnectX for OpenAI Gym.

gym-anm

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

deformable-gym

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

rlschool

RLSchool: Excellent environments for reinforcement Learning benchmarking

rsoccer-gym

🎳 Environments for Reinforcement Learning

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:

metagym

MetaGym: environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning

simpleenvs

Implementations of various sequential decision problems as MDPs using the SimpleOptions framework.

gym-games

This is a gym version of various games for reinforcenment learning.

rlpack

Implementation of RL Algorithms with PyTorch.

gym-raas

OpenAI gym environments for RaaS

pypownet

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