Murphy, Susan A.

14 publications

AAAI 2025 A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

MLJ 2024 Did We Personalize? Assessing Personalization by an Online Reinforcement Learning Algorithm Using Resampling Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy

IJCAI 2024 ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy

JMLR 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

UAI 2023 Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-in-Time Adaptive Interventions Karine Karine, Predrag Klasnja, Susan A. Murphy, Benjamin M. Marlin

AAAI 2023 Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

MLJ 2021 IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy

ICML 2017 iSurvive: An Interpretable, Event-Time Prediction Model for mHealth Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg

JMLR 2012 Linear Fitted-Q Iteration with Multiple Reward Functions Daniel J. Lizotte, Michael Bowling, Susan A. Murphy

UAI 2011 Active Learning for Developing Personalized Treatment Kun Deng, Joelle Pineau, Susan A. Murphy

MLJ 2011 Informing Sequential Clinical Decision-Making Through Reinforcement Learning: An Empirical Study Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy

ICML 2010 Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy

UAI 2008 Small Sample Inference for Generalization Error in Classification Using the CUD Bound Eric B. Laber, Susan A. Murphy

JMLR 2005 A Generalization Error for Q-Learning Susan A. Murphy