activity
20242026
most citedReinforcement Learning on Dyads to Enhance Medication Adherence

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

stat.AP2026

Reinforcement Learning in the Real World: A Survey of Statistical Challenges and Future Directions

Asim H. Gazi, Yongyi Guo, Daiqi Gao +3

Reinforcement learning (RL) has achieved remarkable success in real-world decision-making across diverse domains, including gaming, robotics, online advertising, public health, and…

cs.CY2025

Reproducible workflow for online AI in digital health

Susobhan Ghosh, Bhanu T. Gullapalli, Daiqi Gao +5

Online artificial intelligence (AI) algorithms are an important component of digital health interventions. These online algorithms are designed to continually learn and improve the…

cs.HC2025

"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study

Susobhan Ghosh, Pei-Yao Hung, Lara N. Coughlin +6

Cannabis use among emerging adults is increasing globally, posing significant health risks and creating a need for effective interventions. We present an exploratory analysis of th…

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.CY2024

Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation

Anna L. Trella, Susobhan Ghosh, Erin E. Bonar +10

Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, t…

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.AI2024★ 1 cited

reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use

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

The escalating prevalence of cannabis use, and associated cannabis-use disorder (CUD), poses a significant public health challenge globally. With a notably wide treatment gap, espe…