Matthew Landers

Computer Science PhD Candidate at the University of Virginia CV · Google Scholar · LinkedIn qwp4pk [at] virginia [dot] edu

I am a Computer Science PhD Candidate at the University of Virginia, advised by Tom Hartvigsen and Afsaneh Doryab. My research examines how to make reinforcement learning work in real-world settings. I am particularly interested in offline RL, where agents must learn from fixed logs of data, and in settings with large, discrete, combinatorial action spaces.

Previously, I earned my M.S. from Johns Hopkins University (advised by Suchi Saria) and spent several years as a senior software engineer and startup founder. I operate at the intersection of rigorous theory and production engineering, building control systems that are scalable, reliable, and deployable.

Papers

Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization, Under Review (2025)

Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab

SAINT: Attention-Based Policies for Discrete Combinatorial Action Spaces, Under Review (2025)

Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab

BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces, NeurIPS (2025)

Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab

Parameter Transfer for Single-Task Reinforcement Learning, International Joint Conference on Neural Networks (2025)

Matthew Landers and Afsaneh Doryab

Deep Reinforcement Learning Verification: A Survey, ACM Computing Surveys (2023)

Matthew Landers and Afsaneh Doryab

A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models, Journal of the American Medical Informatics Association (2022)

Echo Wang*, Matthew Landers*, Roy Adams*, Adarsh Subbaswamy, Hadi Kharrazi, Darrell Gaskin, and Suchi Saria

Digital Endpoints: Definition, Benefits, and Current Barriers in Accelerating Development and Adoption, Digital Biomarkers (2021)

Matthew Landers, Ray Dorsey, and Suchi Saria

Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson’s Disease?, Journal of Parkinson’s Disease (2021)

Matthew Landers, Suchi Saria, and Alberto Espay

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams, Sensors (2021)

Chen Qian, Patraporn Leelaprachakul, Matthew Landers, Carissa Low, Anind K . Dey, and Afsaneh Doryab

* indicates equal contribution