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