Farama-Foundation/ViZDoom

A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games

A customisable 3D platform for agent-based AI research

A toolkit for developing and comparing reinforcement learning algorithms.

Simple and easily configurable grid world environments for reinforcement learning

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A library of reinforcement learning components and agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.