Author

Huan Xiong

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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