SAO Details in GLM 5.2 RL
nrehiew_ · x · 2026-07-09
This reply discusses the SAO scheme in the GLM 5.2 RL paper, highlighting that it aims to solve the off-policy bias in long-sequence asynchronous RL.
The core methods mentioned include directly using the rollout policy for importance sampling, simplifying trust region clipping, and leveraging these modifications to address training issues caused by off-policyness.
Related event: GLM Team Proposes SAO Algorithm for Asynchronous Agent RL(15 posts)→
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