What is RLLib?

RLlib is an open-source library for reinforcement learning (RL) that offers a unified API for a variety of algorithms and tools. It's designed to be scalable, supporting distributed training across multiple machines, and flexible, accommodating different RL paradigms like model-free, model-based, and multi-agent RL. RLlib is commonly used for training autonomous agents in simulated environments (e.g., games, robotics) and for optimizing decision-making processes in real-world applications.