Author

Jia-Hua Yang

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#artificial intelligence Preprint Sep 2026

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

This work proposes FastRL, a novel plug-and-play reinforcement learning framework that simultaneously improves training efficiency and the effectiveness of policy learning, and introduces an advantage-aware pruning strategy to selectively preserve high-advantage trajectories while maximizing inter-trajectory gradient d...

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