From Ads to Interventions: Contextual Bandits in Mobile Health
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-51394-2_25
Reference59 articles.
1. John Gittins, Kevin Glazebrook, and Richard Weber. Multi-armed bandit allocation indices. John Wiley & Sons, 2011.
2. Michael Woodroofe. A one-armed bandit problem with a concomitant variable. Journal of the American Statistical Association, 74(368):799–806, 1979.
3. Chih-Chun Wang, Sanjeev R. Kulkarni, and H. Vincent Poor. Bandit problems with side observations. Automatic Control, IEEE Transactions on, 50(3):338–355, 2005.
4. Chih-Chun Wang, Sanjeev R. Kulkarni, and H. Vincent Poor. Arbitrary side observations in bandit problems. Advances in Applied Mathematics, 34(4):903–938, 2005.
5. Alexander Goldenshluger and Assaf Zeevi. A note on performance limitations in bandit problems with side information. Information Theory, IEEE Transactions on, 57(3):1707–1713, 2011.
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