grid2op

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

Multi-objective Gymnasium environments for reinforcement learning

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Partially Observable Process Gym

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

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

Gym environments and agents for autonomous driving.

A collection of Gymnasium compatible games for reinforcement learning.

Framework for integrating ROS and Gazebo with gymnasium, streamlining the development and training of RL algorithms in realistic robot simulations.