Run Online RL For Black-box Agent Applications

AReaL is distributed infrastructure for asynchronous reinforcement learning of LLMs and agent applications. It includes training and inference services, supports agentic workflows and multiple RL algorithms, and integrates with SGLang, vLLM, and Ray.

AI Frameworks | Python · reinforcement learning · agentic RL