2 citations · 2 across the 2 of their papers we have counts for
4 papers
UCB for Large-Scale Pure Exploration: Beyond Sub-Gaussianity
Zaile Li, Weiwei Fan, L. Jeff Hong
Selecting the best alternative from a finite set is the central objective of ranking and selection (R&S) and best arm identification (BAI). Traditional R&S or BAI approaches have p…
Efficient Budget Allocation for Large-Scale LLM-Enabled Virtual Screening
Zaile Li, Weiwei Fan, L. Jeff Hong
Screening tasks that aim to identify a small subset of top alternatives from a large pool are common in business decision-making processes. These tasks often require substantial hu…
Review of Large-Scale Simulation Optimization
Weiwei Fan, L. Jeff Hong, Guangxin Jiang +1
Large-scale simulation optimization (SO) problems encompass both large-scale ranking-and-selection problems and high-dimensional discrete or continuous SO problems, presenting sign…
A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Management
Liqiang Cheng, Jun Luo, Weiwei Fan +2
This paper addresses a multi-echelon inventory management problem with a complex network topology where deriving optimal ordering decisions is difficult. Deep reinforcement learnin…