Maze - Application-oriented deep reinforcement learning framework addressing real-world decision problems.

DeepMind Lab - DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning.

Gym - OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms.

Serpent.AI - Serpent.AI is a game agent framework that allows you to turn any video game you own into a sandbox to develop AI and machine learning experiments. For both researchers and hobbyists.

ViZDoom - ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular.

Roboschool - Open-source software for robot simulation, integrated with OpenAI Gym.

Retro - Retro Games in Gym

SLM Lab - Modular Deep Reinforcement Learning framework in PyTorch.

Coach - Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

garage - A toolkit for reproducible reinforcement learning research

metaworld - An open source robotics benchmark for meta- and multi-task reinforcement learning

Acme: A new framework for distributed reinforcement learning

Reinforcement learning rl provides an elegant formalization for the problem of intelligence

Welcome to Spinning Up in Deep RL! — Spinning Up documentation

RLlib - RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.