Author

Zhe-Shun Wu

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Jul 2026

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics

A unified algorithmic framework featuring two algorithms: MIN-UCB-VI for regret minimization and MAX-LCB-VI for best policy identification for best policy identification is proposed, including both instance-dependent and independent upper bounds on regret and sub-optimality gap.

Zhe-Shun Wu, Renjie Zheng, Jinhang Zuo et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Sep 2026

From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining

Process mining has long turned event logs into process knowledge: discovered models, conformance evidence, bottleneck diagnoses, and runtime predictions. Agentic AI changes the target. Process-aware agents will not only ask what happened. They will ask whether a proposed action should be taken, given the available evid...

Yi-Yuan Yang, Zhe-Shun Wu, Yo-Han Chu et al. · 0 citations