Sean R. Sinclair

25 papers A* 2Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?
CoRR
Hao Liang, Jiayu Cheng, Sean R. Sinclair, Yali Du
2026 J jnl
Non-Stationary Inventory Control with Lead Times.
CoRR
Nele H. Amiri, Sean R. Sinclair, Maximiliano Udenio
2025 J jnl
Network and Risk Analysis of Surety Bonds.
CoRR
Tamara Broderick, Ali Jadbabaie, Vanessa Lin, Manuel Quintero, Arnab Sarker, Sean R. Sinclair
2025 J jnl
Reinforcement Learning in MDPs with Information-Ordered Policies.
CoRR
Zhongjun Zhang, Shipra Agrawal, Ilan Lobel, Sean R. Sinclair, Christina Lee Yu
2025 J jnl
Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way.
CoRR
Chido Onyeze, Sean R. Sinclair, Chamsi Hssaine, Siddhartha Banerjee
2024 J jnl
Adaptivity, Structure, and Objectives in Sequential Decision-Making.
SIGMETRICS Perform. Evaluation Rev.
Sean R. Sinclair
2024 J jnl
Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning.
CoRR
Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin J. Wainwright
2024 J jnl
Online Fair Allocation of Perishable Resources.
CoRR
Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
2024 J jnl
The Data-Driven Censored Newsvendor Problem.
CoRR
Chamsi Hssaine, Sean R. Sinclair
2023 J jnl
Adaptive Discretization in Online Reinforcement Learning.
Oper. Res.
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
2023 A* conf
Hindsight Learning for MDPs with Exogenous Inputs.
ICML
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 — conf
Online Fair Allocation of Perishable Resources.
SIGMETRICS (Abstracts)
Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
2023 J jnl
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve.
Oper. Res.
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
2022 J jnl
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits.
CoRR
Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu
2022 J jnl
Hindsight Learning for MDPs with Exogenous Inputs.
CoRR
Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Adith Swaminathan
2022 J jnl
ORSuite: Benchmarking Suite for Sequential Operations Models.
SIGMETRICS Perform. Evaluation Rev.
Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu
2022 — conf
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve.
SIGMETRICS (Abstracts)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
2021 J jnl
Adaptive Discretization in Online Reinforcement Learning.
CoRR
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
2021 J jnl
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve.
CoRR
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
2020 — conf
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces.
SIGMETRICS (Abstracts)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
2020 A* conf
Adaptive Discretization for Model-Based Reinforcement Learning.
NeurIPS
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
2020 J jnl
Adaptive Discretization for Model-Based Reinforcement Learning.
CoRR
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
2020 J jnl
Sequential Fair Allocation of Limited Resources under Stochastic Demands.
CoRR
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
2019 J jnl
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces.
CoRR
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
2019 J jnl
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces.
Proc. ACM Meas. Anal. Comput. Syst.
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu