172 citations · 226 across the 8 of their papers we have counts for
5 papers · 1 filter
To Start Up a Start-UpEmbedding Strategic Demand Development in Operational On-Demand Fulfillment via Reinforcement Learning with Information Shaping
Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
The last few years have witnessed rapid growth in the on-demand delivery market, with many start-ups entering the field. However, not all of these start-ups have succeeded due to v…
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging
Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas
Deep Reinforcement Learning is an effective tool for drug dosing for chronic condition management. However, the final protocol is generally a black box without any justification fo…
Optimizing Warfarin Dosing using Deep Reinforcement Learning
Sadjad Anzabi Zadeh, W. Nick Street, Barrett W. Thomas
Warfarin is a widely used anticoagulant, and has a narrow therapeutic range. Dosing of warfarin should be individualized, since slight overdosing or underdosing can have catastroph…
Same-Day Delivery with Fairness
Xinwei Chen, Tong Wang, Barrett W. Thomas +1
The demand for same-day delivery (SDD) has increased rapidly in the last few years and has particularly boomed during the COVID-19 pandemic. The fast growth is not without its chal…
Deep Q-Learning for Same-Day Delivery with Vehicles and Drones
Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
In this paper, we consider same-day delivery with vehicles and drones. Customers make delivery requests over the course of the day, and the dispatcher dynamically dispatches vehicl…