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#artificial intelligence Preprint Sep 2026

Targeting Pivotal Decisions for Credit Assignment in Agentic Reinforcement Learning

ProVer, a framework that targets potentially pivotal decisions for fine-grained credit assignment in agentic reinforcement learning, is introduced, highlighting the effectiveness and efficiency of selectively targeting pivotal decisions for fine-grained credit assignment in agentic reinforcement learning.

Dongwon Jung, H. Ramesh, Yi-Fan Wang et al. · 0 citations
Sep 2026

Source-free domain adaptation framework for rotating machinery fault diagnosis by Progressive Pseudo-Labeling and Prototype-Boundary Calibration

A novel source-free DA framework for rotating machinery fault diagnosis that gradually builds a reliable pseudo-label memory bank and dynamically updates it with historical information is proposed, and the Progressive Pseudo-Labeling strategy is introduced.

You Wu, Chuan-Min Wang, Yu Hu et al. · 0 citations

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