| Offline-Online Reinforcement Learning for Linear Mixture MDPs [arXiv] | NeurIPS 2026 |
| Zhongjun Zhang, Sean R. Sinclair. |
| Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning [arXiv] | Under Review |
| Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin Wainwright. | |
| Presented at SIGMETRICS Workshop on Causal Inference (2025) | |
| Presented at ICML Workshop on Aligning Reinforcement Learning Experimentalists and Theorists (2024) |
| Sequential Fair Allocation and Routing in Nonprofit Operations [arXiv] | Under Review |
| Haiqing Gao, Seyed M.R. Iravani, Sean R. Sinclair. |
| Non-Stationary Inventory Control with Lead Times [arXiv] | Under Review |
| Nele H. Amiri, Sean R. Sinclair, Maximiliano Udenio. |
| Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation? [arXiv] | ICLR 2026 |
| Hao Liang, Jiayu Cheng, Sean R. Sinclair, Yali Du. |
| Network and Risk Analysis of Surety Bonds [arXiv] | Under Review |
| Tamara Broderick, Ali Jadbabaie, Vanessa Lin, Manuel Quintero, Arnab Sarker, Sean R. Sinclair. | |
| Presented at International School & Conference on Network Science (2026) |
| Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way [arXiv] | Under Review |
| Chido Onyeze, Sean R. Sinclair, Chamsi Hssaine, Siddhartha Banerjee. | |
| Conference version published in ACM SIGMETRICS (2026) | |
| Finalist for the 2026 INFORMS Service Science Best Paper Award | |
| Winner of the 2026 ACM SIGMETRICS Best Paper Award | |
| Presented at EC Workshop on New Directions in Social Choice (2025) |
| Reinforcement Learning in MDPs with Information-Ordered Policies [arXiv] | Under Review |
| Zhongjun Zhang, Shipra Agrawal, Ilan Lobel, Sean R. Sinclair, Christina Lee Yu. | |
| Finalist for the 2025 INFORMS George Nicholson Student Paper Competition |
| The Data-Driven Censored Newsvendor Problem [arXiv] | Management Science 2026 |
| Chamsi Hssaine, Sean R. Sinclair. | |
| Accepted to Durham Early Career Scholars Workshop (2025) |
| Multi-Objective LQR with Linear Scalarization [arXiv] | Under Review |
| Ali Jadbabaie, Devavrat Shah, Sean R. Sinclair. |
| Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits [arXiv] | Under Review |
| Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu. |
| Online Fair Allocation of Perishable Resources [Preprint] | Operations Research 2026 |
| Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair. | |
| Runner-up for the 2024 INFORMS Service Science Best DEIJ Paper Competition | |
| Media: Examining Algorithmic Fairness and Accountability | |
| Conference version published in ACM SIGMETRICS (2023) | |
| Conference version published in EAAMO (2022) | |
| Presented at Simons Institute Data-Driven Decision Processes Program Workshop: Quantifying Uncertainty: Stochastic, Adversarial, and Beyond (2022) |
| Hindsight Learning for MDPs with Exogenous Inputs [arXiv] | ICML 2023 |
| Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, and Adith Swaminathan. |
| Adaptive Discretization in Online Reinforcement Learning [arXiv] | Operations Research 2022 |
| Sean R. Sinclair, Siddhartha Banerjee, and Christina Lee Yu. | |
| ORSuite: Benchmarking Suite for Sequential Operations Models [ACM PER] | SIGMETRICS Performance Evaluation Review 2021 |
| Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie and Christina Yu. | |
| Presented at ACM SIGMETRICS Reinforcement Learning for Networks and Queues (2021) |
| Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve [arXiv] | Operations Research 2022 |
| Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu. | |
| Earlier version accepted at SIGMETRICS (2022), also presented at Foundations of Responsible Computing Workshop (2022), ICJAI Workshop on AI for Social Good (2021), EC Workshop on Operations of People-Centric Systems (2021) | |
| Finalist for the 2022 INFORMS Diversity, Equity, and Inclusion Best Student Paper Award | |
| Presented at ACM FORC (2022) |
| Sequential Fair Allocation of Limited Resources under Stochastic Demands [arXiv] |
| Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu. |
| Presented at Harvard CRCS Workshop on AI for Social Good (2020), Mechanism Design for Social Good Workshop (2020) |
| Adaptive Discretization for Model-Based Reinforcement Learning [arXiv] [NeurIPS] | NeurIPS 2020 |
| Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu. | |
| Presented at ICML Workshop on Theoretical Foundations of Reinforcement Learning (2020) |
| Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces [arXiv] [ACM] [video] | ACM POMACS 2019 |
| Sean R. Sinclair, Siddhartha Banerjee, and Christina Lee Yu. | |
| Conference version published in ACM SIGMETRICS (2020) | |
| Presented at NeurIPS Workshop on Optimization in Reinforcement Learning (2019) |
| Normal and pathological dynamics of platelets in humans [arXiv] [springer] | Journal of Mathematical Biology |
| GP Langlois, M Craig, AR Humphries, MC Mackey, et all. |