reinforcement-learning-environments

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C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

BabyAI platform. A testbed for training agents to understand and execute language commands.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

ns3-gym - The Playground for Reinforcement Learning in Networking Research

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

A simple, easy, customizable Gymnasium environment for trading.

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

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

Deep Reinforcement Learning in C#

Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)

An OpenAi Gym environment for the Job Shop Scheduling problem.

A gym environment for a miniature racecar using the pybullet physics engine.

Robotic simulation in Unity with ROS integration.

This repo contains a curative list of robot learning (mainly for manipulation) resources.

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.

FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)