| 2025 | AAAI | 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 |
| 2025 | AIME | Reinforcement Learning on Dyads to Enhance Medication Adherence. | Ziping Xu, Hinal Jajal, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Alexandra M. Psihogios, Pei-Yao Hung, Susan A. Murphy |
| 2025 | AISTATS | Harnessing Causality in Reinforcement Learning with Bagged Decision Times. | Daiqi Gao, Hsin-Yu Lai, Predrag Klasnja, Susan A. Murphy |
| 2025 | BSN | SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions. | Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy |
| 2024 | AISTATS | Contextual Bandits with Budgeted Information Reveal. | Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan A. Murphy |
| 2024 | AISTATS | Online learning in bandits with predicted context. | Yongyi Guo, Ziping Xu, Susan A. Murphy |
| 2024 | IJCAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | ICML | The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. | Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez |
| 2023 | UAI | Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. | Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin |
| 2017 | ICML | 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 |
| 2014 | ICMLA | Budgeted Learning for Developing Personalized Treatment. | Kun Deng, Russ Greiner, Susan A. Murphy |
| 2011 | UAI | Active Learning for Developing Personalized Treatment. | Kun Deng, Joelle Pineau, Susan A. Murphy |
| 2010 | ICAART | A Cautious Approach to Generalization in Reinforcement Learning. | Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst |
| 2010 | ICAART | Towards Min Max Generalization in Reinforcement Learning. | Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst |
| 2010 | ICML | Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. | Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy |
| 2008 | UAI | Small Sample Inference for Generalization Error in Classification Using the CUD Bound. | Eric B. Laber, Susan A. Murphy |
| 2007 | AIME | Variable Selection for Optimal Decision Making. | Lacey Gunter, Ji Zhu, Susan A. Murphy |