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 * [Stable Baselines 3](https://github.com/DLR-RM/stable-baselines3) is a learning library based on the Gym API. It is our recommendation for beginners who want to start learning things quickly.
 * [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo) builds upon SB3, containing optimal hyperparameters for Gym environments as well as code to easily find new ones. Such tuning is almost always required.
 * The [Autonomous Learning Library](https://github.com/cpnota/autonomous-learning-library) and [Tianshou](https://github.com/thu-ml/tianshou) are two reinforcement learning libraries I like that are generally geared towards more experienced users.
+* [RLlib](https://docs.ray.io/en/latest/rllib/index.html) is a commonly used library that allows for distributed training and inferencing.
 * [PettingZoo](https://github.com/Farama-Foundation/PettingZoo) is like Gym, but for environments with multiple agents.
 
 ## Environment Versioning