25 citations · 33 across the 5 of their papers we have counts for
3 papers · 1 filter
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning
Susan Athey, Undral Byambadalai, Vitor Hadad +3
We design and implement an adaptive experiment (a ``contextual bandit'') to learn a targeted treatment assignment policy, where the goal is to use a participant's survey responses…
A Flexible Micro-Randomized Trial Design and Sample Size Considerations
Jing Xu, Xiaoxi Yan, Caroline Figueroa +2
Technological advancements have made it possible to deliver mobile health interventions to individuals. A novel framework that has emerged from such advancements is the just-in-tim…
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
In recent years, reinforcement learning (RL) has acquired a prominent position in health-related sequential decision-making problems, gaining traction as a valuable tool for delive…