GAPO Improves RLVR via Adaptive Clipping Policy Optimization
August 30, 2026
GAPO modifies Group Relative Policy Optimization (GRPO) by adapting the importance-sampling clipping boundary to the rollout advantage. This prevents the disproportionate suppression of high-signal gradients from rare, correct rollouts in difficult tasks.
HOW THIS AFFECTS YOU
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researcherThis provides a plug-in modification to GRPO that improves learning signals in reinforcement learning environments.