rllib

RLlib is the reinforcement learning library in the Ray project, designed to provide scalable, efficient, and easy-to-use reinforcement learning tools. Its core objective is to support a variety of reinforcement learning algorithms from single-machine to distributed environments, facilitating the integration of research and application. RLlib significantly enhances the reproducibility of experiments and the performance of algorithms through abstraction and optimization, making it suitable for modeling and solving complex decision problems with broad application value.