AReaL: Lightning‑Fast Asynchronous RL Engine for Building High‑Performance LLM Agents

AReaL, an open‑source, fully asynchronous reinforcement‑learning platform co‑developed by Tsinghua University and Ant Group, dramatically speeds up training of complex LLM agents, offering a simple, stable, and hardware‑flexible solution for developers seeking industrial‑grade AI agents.

AI infrastructureAReaLAsynchronous Training

0 likes · 7 min read

AReaL: Lightning‑Fast Asynchronous RL Engine for Building High‑Performance LLM Agents

AntTech

Apr 21, 2025 · Artificial Intelligence

InclusionAI Community to Present AReaL Reinforcement Learning Framework and AWorld Multi‑Agent Framework at ICLR 2025

The InclusionAI open‑source community, initiated by Ant Group, will showcase the latest advances of its reinforcement‑learning framework AReaL and multi‑agent framework AWorld at the ICLR 2025 conference in Singapore, highlighting performance breakthroughs, open‑source contributions, and industry‑focused AI research.

AReaLAWorldAnt Group

0 likes · 5 min read

InclusionAI Community to Present AReaL Reinforcement Learning Framework and AWorld Multi‑Agent Framework at ICLR 2025

AReaL: Lightning‑Fast Asynchronous RL Engine for Building High‑Performance LLM Agents

InclusionAI Community to Present AReaL Reinforcement Learning Framework and AWorld Multi‑Agent Framework at ICLR 2025

InclusionAI Community to Present AReaL Reinforcement Learning Framework and AWorld Multi‑Agent Framework at ICLR 2025