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Lu Cheng

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#artificial intelligence Preprint Sep 2026

Hierarchical Belief Modeling for Zero-Shot Opponent Adaptation in Partially Observable Multi-Agent Navigation

HORIZON is a hierarchical agent that combines symmetry aware spatial perception, dual memory belief tracking, relic centric graph attention, information gain driven exploration, information gain driven exploration, and an opponent conditioned policy mixture.

Ko-Wei Shih, Lu Cheng, Ze-Yu Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Monitoring Web Agents Without Internal Signals: Observable Trajectories and Key-Step Supervision

Reliable web-agent monitoring is difficult when model-internal uncertainty signals such as token logits are unavailable. In this work, we study prefix-level risk prediction for web agents using observable trajectory signals: given an evolving prefix, estimate whether the current execution remains on track or is tending...

Si-Tong Pan, Yi-Peng Shen, Yilin Lu et al. · 0 citations

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