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Linear Fitted-Q Iteration with Multiple Reward Functions., , and . ICAPS, AAAI, (2013)Budgeted Learning for Developing Personalized Treatment., , and . ICMLA, page 7-14. IEEE, (2014)Active exploration by searching for experiments that falsify the computed control policy., , , and . ADPRL, page 40-47. IEEE, (2011)Personalizing Intervention Probabilities By Pooling., , and . CoRR, (2018)ewrapper: operationalizing engagement strategies in mHealth., , , , , , , , , and 2 other author(s). UbiComp/ISWC Adjunct, page 790-798. ACM, (2017)A Generalization Error for Q-Learning.. J. Mach. Learn. Res., (2005)Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health., , , , , , and . IMWUT, 2 (4): 179:1-179:21 (2018)iSurvive: An Interpretable, Event-time Prediction Model for mHealth., , , , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 970-979. PMLR, (2017)Small Sample Inference for Generalization Error in Classification Using the CUD Bound., and . UAI, page 357-365. AUAI Press, (2008)Inferring bounds on the performance of a control policy from a sample of trajectories., , , and . ADPRL, page 117-123. IEEE, (2009)