We used Reinforcement Learning; but did it work?


Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in a Digital Health. However after an reinforcement learning algorithm has been run in a clinical study, how do we assess whether personalization occurred? We might find users for whom it appears that the algorithm has indeed learned in which contexts the user is more responsive to a particular intervention. But could this have happened completely by chance? We discuss some first approaches to addressing these questions.

About the speaker

Susan A. Murphy Susan A. Murphy is the Mallinckrodt Professor of Statistics and of Computer Science, Radcliffe Alumnae Professor at the Radcliffe Institute. She leads the Statistical Reinforcement Learning Lab working on the development of data analytic algorithms and methods for informing sequential decision making in health.