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Activity Number: 214
Type: Invited
Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #307152
Title: Q-Learning with a Useful Utility
Author(s): Erica E. M. Moodie*+
Companies: McGill University
Keywords: Discrete data ; Dynamic treatment regimes ; Longitudinal data ; Q-learning

Q-learning, an approach from the reinforcement learning literature, has been gaining popularity as a means of estimating optimal dynamic treatment regimes. However, Q-learning is not robust to model mis-specification and to date has been restricted to use on continuous outcomes (including censored time-to-event outcomes). In this talk, we will discuss when and how Q-learning can be applied to outcomes, or utilities, which are discrete such as the number of emergency room visits in a one-year period.

Authors who are presenting talks have a * after their name.

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