AgileRL

AgileRL is a Deep Reinforcement Learning library that streamlines development by introducing RLOps, or MLOps for reinforcement learning. It significantly reduces training time and hyperparameter optimization using pioneering evolutionary techniques, offering up to 10x faster optimization than state-of-the-art methods.

AgileRL sits in the LLM Infra category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward RLOps integration for streamlined reinforcement learning development.. A representative use case is Training single-agent tasks in standard Gymnasium environments.. The listed license is Apache-2.0. GitHub stars are currently 959. Relevant tags include Reinforcement Learning, Deep Learning.