Theory and Practice of Sequential Decision Making
Abstract
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.
Fields of Study & Subjects
Advanced Bandit Algorithms Research
Optimization and Search Problems
Game Theory and Applications
Publication details
- Journal / source
- ACM SIGMETRICS Performance Evaluation Review
- Volume
- 53
- Issue
- 3
- Pages
- 60–63
- Publication date
- 9 January 2026
- Language
- EN