32 citations · 35 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Non-Stationary Latent Auto-Regressive Bandits
Anna L. Trella, Walter Dempsey, Asim H. Gazi +3
For the non-stationary multi-armed bandit (MAB) problem, many existing methods allow a general mechanism for the non-stationarity, but rely on a budget for the non-stationarity tha…
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…