Author

Wei-Yi Lu

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#machine learning Preprint Sep 2026

ARS: Agentic Reward System for Robot Learning

Progress reward modeling is the problem of estimating how a robot's behavior changes task progress over time. Reliable estimation requires distinguishing meaningful state changes from failed attempts and task-irrelevant actions. We introduce the Agentic Reward System (ARS), an inference framework for progress reward mo...

Sheng-Miao Hu, Wei-Yi Lu, Ling-Bing Zeng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models

The Causal Semantic World Action Model (CSWAM) is presented, which augments FastWAM with a causal semantic expert built on V-JEPA 2.1, which provides temporally grounded representations of semantic state changes and motion with less dependence on appearance-specific details.

Tian-Bin Liu, Jian Zhu, Taiyi Su et al. · 0 citations