Sean R. Sinclair

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Historical Data

Capacity Allocation

Top Venues

SIGMETRICS (Abstracts)

SIGMETRICS Perform. Evaluation Rev.

Publications

Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
Online Fair Allocation of Perishable Resources. CoRR (2024)
Sean R. Sinclair
Adaptivity, Structure, and Objectives in Sequential Decision-Making. SIGMETRICS Perform. Evaluation Rev. 51 (3) (2024)
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve. Oper. Res. 71 (5) (2023)
Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
Online Fair Allocation of Perishable Resources. SIGMETRICS (Abstracts) (2023)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization in Online Reinforcement Learning. Oper. Res. 71 (5) (2023)
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
Hindsight Learning for MDPs with Exogenous Inputs. ICML (2023)
Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits. CoRR (2022)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. SIGMETRICS (Abstracts) (2022)
Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu
ORSuite: Benchmarking Suite for Sequential Operations Models. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Adith Swaminathan
Hindsight Learning for MDPs with Exogenous Inputs. CoRR (2022)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization in Online Reinforcement Learning. CoRR (2021)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. CoRR (2021)
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Model-Based Reinforcement Learning. CoRR (2020)
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Model-Based Reinforcement Learning. NeurIPS (2020)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. SIGMETRICS (Abstracts) (2020)
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation of Limited Resources under Stochastic Demands. CoRR (2020)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. Proc. ACM Meas. Anal. Comput. Syst. 3 (3) (2019)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. CoRR (2019)