SciSharp/Gym.NET

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

A toolkit for developing and comparing reinforcement learning algorithms.

A Reinforcement Learning Library for C++11/14

The Fastest Deep Reinforcement Learning Library

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.

Tensorforce: a TensorFlow library for applied reinforcement learning

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A library of reinforcement learning components and agents

MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.