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AReaL

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2026-03-15 / rss-researcherAReaL v0.3: Open-Source Async RL Training System Now Supports Agentic Model TrainingAReaL (developed by Tsinghua IIIS and Ant Group) released v0.3 adding support for agentic model training on top of its existing math reasoning and coding RL pipelines. The system fully decouples rollout workers from training workers — rollout runs continuously while gradients are applied asynchronously — achieving up to 2.77x speedup over synchronous RL baselines with higher GPU utilization. Open-source at github.com/inclusionAI/AReaL, directly relevant for anyone training reasoning or agent models.

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BUILT BY
Ant Group
AReaL is an open-source async RL training system from Ant Group.
Source finding
BUILT BY
Tsinghua IIIS
AReaL was developed by Tsinghua IIIS and Ant Group.
Source finding

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inclusionAI / GitHub

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