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Yi-Han Zhu

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#artificial intelligence Preprint Sep 2026

Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models

Vision-language-action (VLA) models generalize broadly across robotic manipulation tasks, but complex environments require balancing task success with unintended contact. Runtime shields can correct individual actions, but they leave the underlying policy unchanged, so repeated disagreements may create a persistent pol...

M.-Y. Cui, Zhe-Yuan Liu, Yi-Han Zhu et al. · 0 citations
#machine learning Preprint Sep 2026

Graph Forward Distribution Matching for Molecular Inverse Design

Achieving precise control over multiple properties without sacrificing chemical validity remains a central challenge in molecular inverse design. Existing reinforcement learning (RL) methods fine-tune graph diffusion models by treating **reverse** sampling as a sequential policy, using a single terminal reward to optim...

Yi-Han Zhu, Yu-Han Liu, Brett Savoie et al. · 0 citations

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