gym-environments topic
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:
gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
MetaGym
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
gym-anm
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
pypownet
A power network simulator with a Reinforcement Learning-focused usage.
bark-ml
Gym environments and agents for autonomous driving.
reinforcement-learning
Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch
open-rl
Implementations of a large collection of reinforcement learning algorithms.