His research is centered on sequential decision-making under uncertainty, aiming both to deepen theoretical understanding of decision-making with realistic feedback and to enhance practical performance in advanced application domains-especially multi-agent systems and quantum networks. His work was recognized as a Best Paper Finalist at SIGMETRICS 2025.
Xuchuang Wang (Fri,) studied this question.
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