37 citations · 92 across the 13 of their papers we have counts for
14 papers
Sequential Fair Allocation and Routing in Nonprofit Operations
Haiqing Gao, Seyed M. R. Iravani, Sean R. Sinclair
We study a dynamic fair sequential allocation problem in which a central planner distributes a divisible resource across multiple locations under demand uncertainty. Motivated by a…
Offline-Online Reinforcement Learning for Linear Mixture MDPs
Zhongjun Zhang, Sean R. Sinclair
We study offline-online reinforcement learning in linear mixture Markov decision processes (MDPs) under environment shift. In the offline phase, data are collected by an unknown be…
Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way
Chido Onyeze, Sean R. Sinclair, Chamsi Hssaine +1
We study the trade-off between envy and inefficiency in repeated resource allocation settings with stochastic replenishments, motivated by real-world systems such as food banks and…
Reinforcement Learning in MDPs with Information-Ordered Policies
Zhongjun Zhang, Shipra Agrawal, Ilan Lobel +2
Many operational Markov decision processes provide structured information where a trajectory generated under one policy may also reveal how other policies would have performed. We…
The Data-Driven Censored Newsvendor Problem
Chamsi Hssaine, Sean R. Sinclair
We study a censored variant of the data-driven newsvendor problem, where the decision-maker must select an ordering quantity that minimizes expected overage and underage costs base…
Online Fair Allocation of Perishable Resources
Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
We consider a practically motivated variant of the canonical online fair allocation problem: a decision-maker has a budget of perishable resources to allocate over a fixed number o…