gym-environments

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

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

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:

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.

#计算机科学#A collection of Gymnasium compatible games for reinforcement learning.

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

An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.

#计算机科学#Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variation...

Set of reinforcement learning environments for optical networks

🎳 Environments for Reinforcement Learning

#算法刷题#Reinforcement learning in haskell

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

Cellular Automata Environments for Reinforcement Learning

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