Author

Huichi Zhou

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#artificial intelligence Preprint Sep 2026

HarnessPAI: An Evolving Harness for Physical AI

Physical AI aims to build embodied agents that perceive the world, understand and reason about it, and decide how to act. Yet the field has focused primarily on the last component: the action model that maps observations to low-level controls. The prevailing training recipe can erode the perceptual and reasoning capabi...

X. Wang, Wen-Hao Wu, Meng-Hao Zhang et al. · 1 citation

#machine learning Preprint Aug 2026

Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search

This work introduces the Large Discovery Model (LDM), an empirically grounded recurrent architecture that couples a generative model with a Bayesian non-parametric reward surrogate model, yielding an uncertainty-aware value that guides candidate generation, refinement, and selection.

Zhongwei Yu, Yan Song, Xue Yan et al. · 0 citations