1 citations · 1 across the 11 of their papers we have counts for
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…
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 jointly manage inventory replenishment and real-time order fulfillment under demand uncertainty. We study their interaction in a…
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…
Decentralized Multi-product Pricing: Diagonal Dominance, Nash Equilibrium, and Price of Anarchy
Boxiao Chen, Jiashuo Jiang, Stefanus Jasin
Decentralized decision making in multi--product firms can lead to efficiency losses when autonomous decision makers fail to internalize cross--product demand interactions. This pap…
Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control
Yaqi Duan, Yichun Hu, Jiashuo Jiang
Inventory management remains a challenge for many small and medium-sized businesses that lack the expertise to deploy advanced optimization methods. This paper investigates whether…
A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue Stability
Wenhan Xu, Jiashuo Jiang, Lei Deng +1
With the proliferation of Internet of Things (IoT) devices, the demand for addressing complex optimization challenges has intensified. The Lyapunov Drift-Plus-Penalty algorithm is…
Plan-Driven Adaptive Bidding for First-Price Auctions with Budget Constraints under Nonstationarity
Yige Wang, Jiashuo Jiang
We study budget pacing in repeated first-price auctions when an advertiser's private-value distributions change over time and the stationary competing-bid distribution is unknown.…
Online Scheduling for LLM Inference with KV Cache Constraints
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou +3
Large Language Model (LLM) inference, where a trained model generates text one word at a time in response to user prompts, is a computationally intensive process requiring efficien…
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
We study the dynamic pricing problem with knapsack, addressing the challenge of balancing exploration and exploitation under resource constraints. We introduce three algorithms tai…
Online Pricing and Allocation with Demand Learning and Fulfillment Cost
Jianyu Xu, Xuan Wang, Yu-Xiang Wang +1
We study online learning for a seller that jointly chooses per-period inventory positions and a uniform price, then fulfills realized demand through a downstream allocation. The ma…
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
Zifan Liu, Xinran Li, Shibo Chen +3
Reinforcement learning (RL) has proven to be well-performed and general-purpose in the inventory control (IC). However, further improvement of RL algorithms in the IC domain is imp…