Evaluate Agent Training On Customer-service Tasks

AReaL is a distributed framework for asynchronous reinforcement learning of LLMs and agent applications. It includes training workflows for reasoning, coding, search, and customer-service agents, with SGLang and vLLM inference backends.

AI Frameworks | Python · reinforcement learning · LLM training