activity
20182026
most citedDesigning Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines

32 citations · 67 across the 26 of their papers we have counts for

collaborators
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025★ 1 cited

Reinforcement Learning on Dyads to Enhance Medication Adherence

Ziping Xu, Hinal Jajal, Sung Won Choi +5

Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have undergone hematopoietic cell transplantation (HCT). However, maintaining adherence…

cs.LG2024

MiWaves Reinforcement Learning Algorithm

Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung +5

The escalating prevalence of cannabis use poses a significant public health challenge globally. In the U.S., cannabis use is more prevalent among emerging adults (EAs) (ages 18-25)…

cs.LG2024

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials

Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani +4

Online reinforcement learning (RL) algorithms offer great potential for personalizing treatment for participants in clinical trials. However, deploying an online, autonomous algori…

cs.LG2023

Dyadic Reinforcement Learning

Shuangning Li, Lluis Salvat Niell, Sung Won Choi +3

Mobile health aims to enhance health outcomes by delivering interventions to individuals as they go about their daily life. The involvement of care partners and social support netw…

cs.LG2022★ 32 cited

Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines

Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani +3

Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in d…