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04/11/2023
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
There is a growing interest in using reinforcement learning (RL) to pers...
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11/09/2020
Robust Batch Policy Learning in Markov Decision Processes
We study the sequential decision making problem in Markov decision proce...
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07/31/2020
IntelligentPooling: Practical Thompson Sampling for mHealth
In mobile health (mHealth) smart devices deliver behavioral treatments r...
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07/23/2020
Batch Policy Learning in Average Reward Markov Decision Processes
We consider the batch (off-line) policy learning problem in the infinite...
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02/23/2020
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data
In mobile health (mHealth), reinforcement learning algorithms that adapt...
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12/30/2019
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
With the recent advancements in wearables and sensing technology, health...
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09/08/2019
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
With the recent evolution of mobile health technologies, health scientis...
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11/09/2017
The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments
Technological advancements in the field of mobile devices and wearable s...
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04/17/2017