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Ruiqing Zhang

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Preprint Aug 2026

Agent-G$^2$: Gaussian Guidance for Agentic Reinforcement Learning

A Gaussian guidance framework that draws the depth per task from a Gaussian whose center and spread are estimated online from rollouts already collected for policy optimization, requiring no probe rollouts or learned depth predictor is proposed.

Zi-Xuan Wang, Yan-Rui Miao, Zhengxi Lu et al. · 0 citations
Preprint Aug 2026

CRISP: Critical Step Perception for Training Efficient Deep Search Agents

This paper proposes CRISP, a framework for training efficient deep search agents through critical step perception that distinguishes interactions that gather necessary evidence from redundant ones and shapes the training reward to preserve the former while pruning the latter, improving efficiency without sacrificing th...

Haosi Mo, Zihao Yan, Ruiqing Zhang et al. · 0 citations

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