Scale Asynchronous RL Training Across Gpu Clusters

AReaL is distributed infrastructure for asynchronous reinforcement-learning training of LLMs and AI agents. It includes workflows for reasoning, coding, search, and multi-turn agents, with SGLang and vLLM inference backends.

AI Frameworks | Python · reinforcement learning · agentic RL