3 papers
eess.SY2025
Optimal Batched Scheduling of Stochastic Processing Networks Using Atomic Action Decomposition
Jim Dai, Manxi Wu, Zhanhao Zhang
Stochastic processing networks (SPNs) have broad applications in healthcare, transportation, and communication networks. The control of SPN is to dynamically assign servers in batc…
cs.GT2025
Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection
Ruifan Yang, Manxi Wu
We introduce a new hypothesis testing-based learning dynamics in which players update their strategies by combining hypothesis testing with utility-driven exploration. In this dyna…
cs.AI2025
Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation
Jim Dai, Manxi Wu, Zhanhao Zhang
Pioneering companies such as Waymo have deployed robo-taxi services in several U.S. cities. These robo-taxis are electric vehicles, and their operations require the joint optimizat…