13 papers
Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems
Wenhan Xu, Jiashuo Jiang, Danny H. K. Tsang
With the rapid evolution of 5G and emerging 6G networks, reconfigurable intelligent surfaces (RIS) have become a critical technology for enhancing wireless communication scenarios.…
Adaptive Bidding Policies for First-Price Auctions with Budget Constraints under Non-stationarity
Yige Wang, Jiashuo Jiang
In this paper, we study how a budget-constrained bidder should learn to bid adaptively in repeated first-price auctions to maximize cumulative payoff. This problem arises from the…
Adaptive Bidding Policies for First-Price Auctions with Budget Constraints under Non-stationarity
Yige Wang, Jiashuo Jiang
We study how a budget-constrained bidder should learn to adaptively bid in repeated first-price auctions to maximize her cumulative payoff. This problem arose due to an industry-wi…
The Value of Information in Resource-Constrained Pricing
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
Firms that price perishable resources -- airline seats, hotel rooms, seasonal inventory -- now routinely use demand predictions, but these predictions vary widely in quality. Under…
Online Order Fulfillment with Replenishment
Zi Ling, Jiashuo Jiang, Linwei Xin
In modern e-commerce and service operations, firms must jointly manage inventory replenishment and real-time order fulfillment to maximize profit under demand uncertainty. While ea…
An LP-Based Approach for Bilinear Saddle Point Problem with Instance-dependent Guarantee and Noisy Feedback
Jiashuo Jiang, Mengxiao Zhang
In this work, we study the sample complexity of obtaining a Nash equilibrium (NE) estimate in two-player zero-sum matrix games with noisy feedback. Specifically, we propose a novel…