Single-Rollout Async Optimization for Agent RL
the-aiml · hf · 2026-07-09
This research proposes a single-rollout asynchronous optimization method for agent reinforcement learning to alleviate stability issues during complex task training. The authors claim this approach outperforms existing methods on coding and reasoning benchmarks.
Related event: GLM Team Proposes SAO Algorithm for Asynchronous Agent RL(15 posts)→
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