Sean R. Sinclair

According to our database, Sean R. Sinclair authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Offline-Online Reinforcement Learning for Linear Mixture MDPs.

Zhongjun Zhang, Sean R. Sinclair

CoRR, April, 2026

Non-Stationary Inventory Control with Lead Times.

Nele H. Amiri, Sean R. Sinclair, Maximiliano Udenio

CoRR, February, 2026

Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?

Hao Liang, Jiayu Cheng, Sean R. Sinclair, Yali Du

CoRR, January, 2026

2025

Network and Risk Analysis of Surety Bonds.

Tamara Broderick, Ali Jadbabaie, Vanessa Lin, Manuel Quintero, Arnab Sarker, Sean R. Sinclair

CoRR, November, 2025

Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way.

Chido Onyeze, Sean R. Sinclair, Chamsi Hssaine, Siddhartha Banerjee

CoRR, August, 2025

Reinforcement Learning in MDPs with Information-Ordered Policies.

Zhongjun Zhang, Shipra Agrawal, Ilan Lobel, Sean R. Sinclair, Christina Lee Yu

CoRR, August, 2025

2024

Adaptivity, Structure, and Objectives in Sequential Decision-Making.

Sean R. Sinclair

SIGMETRICS Perform. Evaluation Rev., January, 2024

The Data-Driven Censored Newsvendor Problem.

Chamsi Hssaine, Sean R. Sinclair

CoRR, 2024

Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning.

Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin J. Wainwright

CoRR, 2024

2023

Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve.

Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

Oper. Res., 2023

Adaptive Discretization in Online Reinforcement Learning.

Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu

Oper. Res., 2023

Online Fair Allocation of Perishable Resources.

Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair

Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

Hindsight Learning for MDPs with Exogenous Inputs.

Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan

Proceedings of the International Conference on Machine Learning, 2023

2022

ORSuite: Benchmarking Suite for Sequential Operations Models.

Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu

SIGMETRICS Perform. Evaluation Rev., 2022

Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits.

Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu

CoRR, 2022

Hindsight Learning for MDPs with Exogenous Inputs.

Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Adith Swaminathan

CoRR, 2022

Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve.

Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu

Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022

2020

Sequential Fair Allocation of Limited Resources under Stochastic Demands.

Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

CoRR, 2020

Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces.

Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu

Proceedings of the Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2020

Adaptive Discretization for Model-Based Reinforcement Learning.

Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020