4 papers
Rate-Optimal Quantum Discrete Simulation Optimization
Mingjie Hu, Jian-Qiang Hu
Quantum computing has developed rapidly in recent years and has shown potential advantages over classical computing in various domains. In this paper, we study whether quantum comp…
Quantum Monte Carlo Tree Search with Fixed Confidence
Mingjie Hu, Jian-Qiang Hu, Enlu Zhou
Recent advances in quantum computing are opening new opportunities for computationally intensive decision problems. This paper studies how quantum computing can improve Monte Carlo…
Nonparametric Learning and Earning with One-Point Feedback under Nonstationarity
Xiangyu Yang, Feng Xu, Jian-Qiang Hu +1
Firms increasingly rely on dynamic pricing to respond to evolving customer demand, yet in many applications they observe only the revenue generated by a single posted price in each…
Optimal Data Acquisition for Reinforcement Learning: A Large Deviations Perspective
Mingjie Hu, Jian-Qiang Hu, Enlu Zhou
Data acquisition efficiency is a central challenge in deploying reinforcement learning in business and healthcare operations, where interactions are costly, slow, and often involve…