Author

Yuxiao Dong

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Preprint Jul 2026

Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning

Single-rollout Asynchronous Optimization (SAO) is presented to address the stability and off-policy challenges in asynchronous RL and is able to train stably for one thousand steps and consistently outperform GRPO and its variants on agentic coding and reasoning benchmarks.

Zhenyu Hou, Yujiang Li, Jie Tang et al. · 10 citations · ⚡2