Author

Jiahua Yang

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#artificial intelligence Preprint Sep 2026

Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO

Recently, Group Relative Policy Optimization (GRPO) and its variants have been developed for policy optimization and demonstrated notable performance gains. However, these methods usually incur substantial computational overhead due to per-question multi-rollout sampling and repeated per-token probability evaluation ac...

Jia-Hua Yang, Zhiwei Yang, Xian-Peng Zhang et al. · 0 citations

Preprint Aug 2026

Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforcement Learning

Prefix-Normalized Policy Optimization (PNPO), which replaces the cumulative ratio with the geometric mean of likelihood ratios along each causal prefix, preserving causal-prefix dependence at each position while compressing the log-weight scale, is studied.

Wenhao Zhang, Yi Xie, Rui Wang et al. · 1 citation