172 citations · 226 across the 8 of their papers we have counts for
8 papers
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…
Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework
Jonas Stein, Florentin D Hildebrandt, Barrett W Thomas +1
Home repair and installation services require technicians to visit customers and resolve tasks of different complexity. Technicians often have heterogeneous skills and working expe…
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…
Does Parking Matter? The Impact of Search Time for Parking on Last-Mile Delivery Optimization
Sara Reed, Ann Melissa Campbell, Barrett W. Thomas
Parking is a necessary component of traditional last-mile delivery practices, but finding parking can be difficult. Yet, the routing literature largely does not account for the nee…
Where the Action is: Let's make Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problems work!
Florentin D Hildebrandt, Barrett Thomas, Marlin W Ulmer
There has been a paradigm-shift in urban logistic services in the last years; demand for real-time, instant mobility and delivery services grows. This poses new challenges to logis…
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…