Sean R. Sinclair

Orcid: 0000-0002-7011-8253

According to our database1, Sean R. Sinclair authored at least 13 papers between 2019 and 2024.

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Bibliography

2024
Adaptivity, Structure, and Objectives in Sequential Decision-Making.
SIGMETRICS Perform. Evaluation Rev., January, 2024

Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning.
CoRR, 2024

2023
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve.
Oper. Res., 2023

Adaptive Discretization in Online Reinforcement Learning.
Oper. Res., 2023

Online Fair Allocation of Perishable Resources.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
ORSuite: Benchmarking Suite for Sequential Operations Models.
SIGMETRICS Perform. Evaluation Rev., 2022

Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits.
CoRR, 2022

Hindsight Learning for MDPs with Exogenous Inputs.
CoRR, 2022

Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve.
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.
CoRR, 2020

Adaptive Discretization for Model-Based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces.
Proc. ACM Meas. Anal. Comput. Syst., 2019


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