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.
PythonApache License 2.0active
MachineLearning Reinforcement Learning
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Reinforcement Learning
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
PythonMIT Licenseactive
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.
PythonMIT Licensedormantarchived
DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
PythonApache License 2.0steady
Retro Games in Gym
CMIT Licenseslowingarchived
Open-source software for robot simulation, integrated with OpenAI Gym.
PythonOtherdormantarchived
A toolkit for reproducible reinforcement learning research
PythonMIT Licensedormant
Modular Deep Reinforcement Learning framework in PyTorch.
PythonMIT Licenseactive
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
PythonOtheractive
Gym4ReaL is a comprehensive suite of realistic environments designed to support the development and evaluation of RL algorithms that can operate in real-world scenarios. The suite includes a diverse set of tasks exposing RL algorithms to a variety of practical challenges.
PythonApache License 2.0slowing
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