Sean Sinclair



Working Papers

Sequential Fair Allocation of Limited Resources under Stochastic Demands [arXiv] Working Paper
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu.

Adaptive Discretization for Online Reinforcement Learning Working Paper
Sean R. Sinclair, Siddhartha Banerjee, and Christina Lee Yu.

Journal Publications

Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces [arXiv] [ACM] [video] ACM POMACS
Sean R. Sinclair, Siddhartha Banerjee, and Christina Lee Yu.

Normal and pathological dynamics of platelets in humans [arXiv] [springer] Journal of Mathematical Biology
GP Langlois, M Craig, AR Humphries, MC Mackey, et all.

Conference Publications

Adaptive Discretization for Model-Based Reinforcement Learning [arXiv] [video] Accepted to NeurIPS 2020 (Poster)
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu.

Workshops

Sequential Fair Allocation of Limited Resources under Stochastic Demands [paper] Harvard CRCS AI for Social Good 2020
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu. Mechanism Design for Social Good 2020

Adaptive Discretization for Model-Based Reinforcement Learning [paper] ICML Theoretical Foundations of Reinforcement Learning 2020
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, and Christina Lee Yu.

Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces [paper] NeurIPS Optimization Foundations in Reinforcement Learning 2019
Sean R. Sinclair, Siddhartha Banerjee, and Christina Lee Yu.