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News/Group Adaptive Clipping Policy Optimization
arxiv
PublishedSeptember 2, 2026 at 4:00 AM
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Group Adaptive Clipping Policy Optimization

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arXiv:2609.00444v1 Announce Type: cross Abstract: 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 pr

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