172 citations · 226 across the 8 of their papers we have counts for
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cs.AI2024
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…
cs.LG2024
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…