Author

Zhong-Yi Li

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#artificial intelligence Preprint Sep 2026

Dual-Channel Robust Group-Relative Policy Optimization via Advantage and Sequence-Weight Estimation

RoVR-GSPO is introduced, a dual-channel robust optimizer that addresses group-relative policy optimization failure modes separately and shows consistent improvements over GSPO, while controlled perturbation studies demonstrate stronger robustness to reward contamination and token-ratio anomalies.

Zhong-Yi Li, Wan Tian, Xiang Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

STAR-GRPO: Canonical Anchoring and Reliability-First Advantages against Representation-Dependent Reward Hacking

Reward hacking occurs when policy optimization exploits a brittle reward interface or an overly permissive proxy objective, improving the training score without improving the underlying response quality. This phenomenon is amplified in group-relative policy optimization: an unsupported reward can shift the group baseli...

Wan Tian, Zhong-Yi Li, Xiang Xu et al. · 0 citations