Study Confirms Mismatch in Async and Group Sampling
ziv_ravid · x · 2026-07-11
A tweet discussed the mismatch between asynchronous processing and group sampling in RLHF, pointing out that this is a practical phenomenon worth deeper investigation.
- Model Performance: Experiments show that GRPO (Group Relative Policy Optimization) collapses quickly during training, whereas SAO remains stable.
- Benchmarks: SAO outperformed GRPO variants on the SWE-Bench Verified and multiple math benchmarks.
- Dynamic Tracking: In an experiment where reward preferences shifted midway, the value model tracked the changes much faster than methods using a running mean as a baseline.
Related event: GLM Team Proposes SAO Algorithm for Asynchronous Agent RL(15 posts)→
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