SAO Outperforms GRPO Variants
ziv_ravid · x · 2026-07-11
This thread discusses a new RL training approach and shares experimental results:
- Is SAO slower/more stable to converge than GRPO? The original text clarifies that the authors found GRPO degrades faster, while SAO does not, and that SAO outperforms GRPO variants on SWE-Bench Verified and math benchmarks.
- They also conducted an experiment: when reward preferences changed midway through training, the value model tracked the new preferences faster than a "running-mean baseline."
This post is essentially a sharing of research observations regarding agent/RL training stability and the role of value models.
Related event: GLM Team Proposes SAO Algorithm for Asynchronous Agent RL(15 posts)→
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