most citedClinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 11 cited

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

Shengpu Tang, Aditya Modi, Michael W. Sjoding +1

Standard reinforcement learning (RL) aims to find an optimal policy that identifies the best action for each state. However, in healthcare settings, many actions may be near-equiva…

cs.LG2019

Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations

Aditya Modi, Debadeepta Dey, Alekh Agarwal +4

Assemblies of modular subsystems are being pressed into service to perform sensing, reasoning, and decision making in high-stakes, time-critical tasks in such areas as transportati…