There are 37 repositories under reinforcement-learning-environments topic.
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An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Grid2Op a testbed platform to model sequential decision making in power systems.
A simple, easy, customizable Gymnasium environment for trading.
An OpenAi Gym environment for the Job Shop Scheduling problem.
Robotic simulation in Unity with ROS integration.
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Dual UR5 Husky Robot MuJoCo Model
An easy-to-use reinforcement learning library for research and education.
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
A gym environment for a miniature racecar using the pybullet physics engine.
This repo contains a curative list of robot learning (mainly for manipulation) resources.
An OpenAI Gym environment for the Flappy Bird game
Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
Malware Bypass Research using Reinforcement Learning
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
Gym environments and agents for autonomous driving.
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).
Open source collection of Reinforcement Learning Environments.
PushWorld: A benchmark for manipulation planning with tools and movable obstacles
Modelica models integration with Open AI Gym
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
A benchmark towards generalizable reinforcement learning for autonomous driving.
Showcase environment for ML-Agents