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Sean R. Sinclair
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2020 – today
- 2024
- [j5]Sean R. Sinclair:
Adaptivity, Structure, and Objectives in Sequential Decision-Making. SIGMETRICS Perform. Evaluation Rev. 51(3): 38-41 (2024) - [i8]Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair:
Online Fair Allocation of Perishable Resources. CoRR abs/2406.02402 (2024) - 2023
- [j4]Sean R. Sinclair
, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization in Online Reinforcement Learning. Oper. Res. 71(5): 1636-1652 (2023) - [j3]Sean R. Sinclair
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve. Oper. Res. 71(5): 1689-1705 (2023) - [c5]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: 31877-31914 - [c4]Siddhartha Banerjee
Online Fair Allocation of Perishable Resources. SIGMETRICS (Abstracts) 2023: 55-56 - 2022
- [j2]Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair
ORSuite: Benchmarking Suite for Sequential Operations Models. SIGMETRICS Perform. Evaluation Rev. 49(2): 57-61 (2022) - [c3]Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu:
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. SIGMETRICS (Abstracts) 2022: 95-96 - [i7]Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Adith Swaminathan:
Hindsight Learning for MDPs with Exogenous Inputs. CoRR abs/2207.06272 (2022) - [i6]Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu:
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits. CoRR abs/2210.00025 (2022) - 2021
- [i5]Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu:
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. CoRR abs/2105.05308 (2021) - [i4]Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu:
Adaptive Discretization in Online Reinforcement Learning. CoRR abs/2110.15843 (2021) - 2020
- [c2]Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu:
Adaptive Discretization for Model-Based Reinforcement Learning. NeurIPS 2020 - [c1]Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu:
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. SIGMETRICS (Abstracts) 2020: 17-18 - [i3]Sean R. Sinclair
Adaptive Discretization for Model-Based Reinforcement Learning. CoRR abs/2007.00717 (2020) - [i2]Sean R. Sinclair
Sequential Fair Allocation of Limited Resources under Stochastic Demands. CoRR abs/2011.14382 (2020)
2010 – 2019
- 2019
- [j1]Sean R. Sinclair
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 55:1-55:44 (2019) - [i1]Sean R. Sinclair
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. CoRR abs/1910.08151 (2019)
Coauthor Index
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