Environments Zoo:

A curated list of environments and tasks for reinforcement learning.

Single Agent

A curated list of single-agent environments and tasks for reinforcement learning.

OpenAI Environments {GitHub} {Website}

• Gym Native Environments

• Atari Learning Environments

• Retro games {GitHub}

• Mujoco {Website} {python wrapper} {open source implementation using pybullet}

• Gym roboschool Environments {GitHub}

• Robotics - Goal-based Tasks {Website}

DeepMind Environments

• AI Safety Gridworlds {Paper} {GitHub}

• DeepMind Control Suite {GitHub} {dm_control2gym}

Others

• Habitat - Emboddied Agents by FAIR {Website}

• PyBullet Environments {GitHub}

• Unity 3D Environments {GitHub}

• rllab Environments {GitHub}

Multi Agent

A curated list of multi-agent environments and tasks for reinforcement learning.

• Starcraft I by Facebook AI Research - TorchCraft {Paper} {GitHub} {gym-env}

• Starcraft II by DeepMind - PySC2 {Paper} {GitHub}

• OpenAI's multiagent particle envs {Paper} {GitHub}

• OpenAI's Competitive Multi-Agent Environments {Paper} {GitHub}

• OpenAI's RoboSumo Environments {Paper} {GitHub}

• DeepMind MuJoCo Multi-Agent Soccer Environment. {Paper} {GitHub}

• Soccer Environment {GitHub} {gym-env}

• Unity 3D Environments - a few games that are multi-agents {GitHub}

Frameworks

A curated list of frameworks for developing environments for reinforcement learning.

• OpenAI Gym {Paper} {GitHub}

• OpenAI Roboschool {GitHub}

• DeepMind's pycolab game engine {GitHub}

• Bullet Physics bullet3 {GitHub}

• Unity ML-Agents(Beta) {Github}

• rllab Framework {GitHub}