# Group Adaptive Clipping Policy Optimization

> Source: <https://aiflash.com/news/114834/>
> Published: 2026-09-07 02:00:00+00:00

Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a fixed importance-sampling (IS) ratio clipping boundary across all rollouts. We identify a key limitation: rare correct rollouts on harder problems and abundant correct rollouts on easier pro