Susan A. Murphy

112 papers A* 9A 8B 1C 2Journal 72Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Statistical Reinforcement Learning in the Real World: A Survey of Challenges and Future Directions. CoRR Asim H. Gazi, Yongyi Guo, Daiqi Gao, Ziping Xu, Kelly W. Zhang, Susan A. Murphy
2025	J	`jnl`	"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study. CoRR Susobhan Ghosh, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Yongyi Guo, Inbal Nahum-Shani, Maureen A. Walton, Mark W. Newman, Susan A. Murphy
2025	A*	`conf`	A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial. AAAI Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2025	J	`jnl`	Active Measuring in Reinforcement Learning With Delayed Negative Effects. CoRR Daiqi Gao, Ziping Xu, Aseel Rawashdeh, Predrag Klasnja, Susan A. Murphy
2025	A	`conf`	Harnessing Causality in Reinforcement Learning with Bagged Decision Times. AISTATS Daiqi Gao, Hsin-Yu Lai, Predrag Klasnja, Susan A. Murphy
2025	J	`jnl`	Reinforcement Learning on AYA Dyads to Enhance Medication Adherence. CoRR Ziping Xu, Hinal Jajal, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Alexandra M. Psihogios, Pei-Yao Hung, Susan A. Murphy
2025	—	`conf`	Reinforcement Learning on Dyads to Enhance Medication Adherence. AIME (1) Ziping Xu, Hinal Jajal, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Alexandra M. Psihogios, Pei-Yao Hung, Susan A. Murphy
2025	J	`jnl`	Reproducible workflow for online AI in digital health. CoRR Susobhan Ghosh, Bhanu T. Gulapalli, Daiqi Gao, Asim H. Gazi, Anna L. Trella, Ziping Xu, Kelly W. Zhang, Susan A. Murphy
2025	C	`conf`	SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions. BSN Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy
2025	J	`jnl`	Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions. CoRR Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao, Benjamin M. Marlin, Vivek Shetty, Susan A. Murphy
2024	J	`jnl`	A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial. CoRR Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2024	J	`jnl`	BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings. CoRR Karine Karine, Susan A. Murphy, Benjamin M. Marlin
2024	A	`conf`	Contextual Bandits with Budgeted Information Reveal. AISTATS Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan A. Murphy
2024	J	`jnl`	Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Mach. Learn. Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
2024	J	`jnl`	Effect-Invariant Mechanisms for Policy Generalization. J. Mach. Learn. Res. Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja, Susan A. Murphy, Jonas Peters
2024	J	`jnl`	Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation. CoRR Anna L. Trella, Susobhan Ghosh, Erin E. Bonar, Lara N. Coughlin, Finale Doshi-Velez, Yongyi Guo, Pei-Yao Hung, Inbal Nahum-Shani, Vivek Shetty, Maureen A. Walton, Iris Yan, Kelly W. Zhang, Susan A. Murphy
2024	J	`jnl`	Harnessing Causality in Reinforcement Learning With Bagged Decision Times. CoRR Daiqi Gao, Hsin-Yu Lai, Predrag Klasnja, Susan A. Murphy
2024	J	`jnl`	MiWaves Reinforcement Learning Algorithm. CoRR Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
2024	J	`jnl`	Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials. CoRR Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Iris Yan, Finale Doshi-Velez, Susan A. Murphy
2024	J	`jnl`	Non-Stationary Latent Auto-Regressive Bandits. CoRR Anna L. Trella, Walter H. Dempsey, Finale Doshi-Velez, Susan A. Murphy
2024	J	`jnl`	Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration. CoRR Xueqing Liu, Kyra Gan, Esmaeil Keyvanshokooh, Susan A. Murphy
2024	A	`conf`	Online learning in bandits with predicted context. AISTATS Yongyi Guo, Ziping Xu, Susan A. Murphy
2024	J	`jnl`	Oralytics Reinforcement Learning Algorithm. CoRR Anna L. Trella, Kelly W. Zhang, Stephanie Marita Carpenter, David Elashoff, Zara M. Greer, Inbal Nahum-Shani, Dennis Ruenger, Vivek Shetty, Susan A. Murphy
2024	A*	`conf`	ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use. IJCAI Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
2024	A	`conf`	Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. AAMAS Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. J. Mach. Learn. Res. Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	The Fallacy of Minimizing Local Regret in the Sequential Task Setting. CoRR Ziping Xu, Kelly W. Zhang, Susan A. Murphy
2024	J	`jnl`	Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning. CoRR Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch, Susan A. Murphy, Krzysztof Z. Gajos
2024	J	`jnl`	reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use. CoRR Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy
2023	J	`jnl`	A randomized trial of a mobile health intervention to augment cardiac rehabilitation. npj Digit. Medicine Jessica R. Golbus, Kashvi Gupta, Rachel Stevens, V. Swetha Jeganathan, Evan Luff, Jieru Shi, Walter H. Dempsey, Thomas Boyden, Bhramar Mukherjee, Sarah Kohnstamm, Vlad Taralunga, Vik Kheterpal, Susan A. Murphy, Predrag V. Klasnja, Sachin Kheterpal, Brahmajee K. Nallamothu
2023	A	`conf`	Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. UAI Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin
2023	J	`jnl`	Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. CoRR Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin
2023	J	`jnl`	Contextual Bandits with Budgeted Information Reveal. CoRR Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan A. Murphy
2023	J	`jnl`	Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag V. Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
2023	J	`jnl`	Dyadic Reinforcement Learning. CoRR Shuangning Li, Lluis Salvat Niell, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Susan A. Murphy
2023	J	`jnl`	Effect-Invariant Mechanisms for Policy Generalization. CoRR Sorawit Saengkyongam, Niklas Pfister, Predrag V. Klasnja, Susan A. Murphy, Jonas Peters
2023	J	`jnl`	Estimating causal effects with optimization-based methods: A review and empirical comparison. Eur. J. Oper. Res. Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
2023	J	`jnl`	Online learning in bandits with predicted context. CoRR Yongyi Guo, Susan A. Murphy
2023	J	`jnl`	Online model selection by learning how compositional kernels evolve. Trans. Mach. Learn. Res. Eura Shin, Predrag Klasnja, Susan A. Murphy, Finale Doshi-Velez
2023	A*	`conf`	Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care. AAAI Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2023	A*	`conf`	The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. ICML Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2023	J	`jnl`	The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. CoRR Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2022	J	`jnl`	Counterfactual inference for sequential experimental design. CoRR Raaz Dwivedi, Susan A. Murphy, Devavrat Shah
2022	—	`conf`	Data-driven Interpretable Policy Construction for Personalized Mobile Health. ICDH Dimitris Bertsimas, Predrag V. Klasnja, Susan A. Murphy, Liangyuan Na
2022	J	`jnl`	Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines. Algorithms Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2022	J	`jnl`	Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines. CoRR Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2022	J	`jnl`	Doubly robust nearest neighbors in factor models. CoRR Raaz Dwivedi, Katherine Tian, Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy, Devavrat Shah
2022	J	`jnl`	Estimating causal effects with optimization-based methods: A review and empirical comparison. CoRR Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
2022	J	`jnl`	Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2022	J	`jnl`	Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care. CoRR Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy
2022	J	`jnl`	Statistical Inference After Adaptive Sampling in Non-Markovian Environments. CoRR Kelly W. Zhang, Lucas Janson, Susan A. Murphy
2021	J	`jnl`	Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning. CoRR Sarah Rathnam, Susan A. Murphy, Finale Doshi-Velez
2021	J	`jnl`	IntelligentPooling: practical Thompson sampling for mHealth. Mach. Learn. Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy
2021	J	`jnl`	Online structural kernel selection for mobile health. CoRR Eura Shin, Pedja Klasnja, Susan A. Murphy, Finale Doshi-Velez
2021	—	`conf`	Power Constrained Bandits. MLHC Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2021	A*	`conf`	Statistical Inference with M-Estimators on Adaptively Collected Data. NeurIPS Kelly W. Zhang, Lucas Janson, Susan A. Murphy
2021	J	`jnl`	Statistical Inference with M-Estimators on Bandit Data. CoRR Kelly W. Zhang, Lucas Janson, Susan A. Murphy
2020	J	`jnl`	Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health. CoRR Marianne Menictas, Sabina Tomkins, Susan A. Murphy
2020	A*	`conf`	Inference for Batched Bandits. NeurIPS Kelly W. Zhang, Lucas Janson, Susan A. Murphy
2020	J	`jnl`	Inference for Batched Bandits. CoRR Kelly W. Zhang, Lucas Janson, Susan A. Murphy
2020	J	`jnl`	IntelligentPooling: Practical Thompson Sampling for mHealth. CoRR Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy
2020	J	`jnl`	Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy
2020	J	`jnl`	Power-Constrained Bandits. CoRR Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2020	J	`jnl`	Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. CoRR Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy
2020	J	`jnl`	Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health. CoRR Marianne Menictas, Sabina Tomkins, Susan A. Murphy
2020	J	`jnl`	The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations. CoRR Ashley E. Walton, Linda M. Collins, Predrag V. Klasnja, Inbal Nahum-Shani, Mashfiqui Rabbi, Maureen A. Walton, Susan A. Murphy
2020	J	`jnl`	Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data. CoRR Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Li, Katherine Li, Bess Rothman, Lexa Giragosian, Maya Reyes, Hannah Gadway, Rebecca M. Cunningham, Erin E. Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy, Predrag V. Klasnja
2019	—	`conf`	A smartphone-based behavioural activation application using recommender system. UbiComp/ISWC Adjunct Tao Zhang, Geoff A. Jarrad, Susan A. Murphy, Niranjan Bidargaddi
2019	J	`jnl`	Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. CoRR Peng Liao, Predrag V. Klasnja, Susan A. Murphy
2019	J	`jnl`	Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. CoRR Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy
2019	J	`jnl`	ReVibe: A Context-assisted Evening Recall Approach to Improve Self-report Adherence. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Mashfiqui Rabbi, Katherine Li, H. Yanna Yan, Kelly Hall, Predrag V. Klasnja, Susan A. Murphy
2018	J	`jnl`	Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Peng Liao, Walter H. Dempsey, Hillol Sarker, Syed Monowar Hossain, Mustafa al'Absi, Predrag V. Klasnja, Susan A. Murphy
2018	J	`jnl`	Personalizing Intervention Probabilities By Pooling. CoRR Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy
2017	—	`conf`	Action Centered Contextual Bandits. NIPS Kristjan H. Greenewald, Ambuj Tewari, Susan A. Murphy, Predrag V. Klasnja
2017	J	`jnl`	Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472). Dagstuhl Reports Niko Beerenwinkel, Holger Fröhlich, Susan A. Murphy
2017	J	`jnl`	An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions. CoRR Huitian Lei, Ambuj Tewari, Susan A. Murphy
2017	J	`jnl`	Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). IEEE Pervasive Comput. Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, Duen Horng Chau, Emre Ertin, Deborah Estrin, Deepak Ganesan, Timothy Hnat, Syed Monowar Hossain, Zachary G. Ives, Jacqueline Kerr, Benjamin M. Marlin, Susan A. Murphy, James M. Rehg, Inbal Nahum-Shani, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
2017	J	`jnl`	Control Engineering Methods for the Design of Robust Behavioral Treatments. IEEE Trans. Control. Syst. Technol. Korkut Bekiroglu, Constantino Lagoa, Susan A. Murphy, Stephanie T. Lanza
2017	—	`ch.`	Design Lessons from a Micro-Randomized Pilot Study in Mobile Health. Mobile Health - Sensors, Analytic Methods, and Applications Shawna N. Smith, Andy Jinseok Lee, Kelly Hall, Nicholas J. Seewald, Audrey Boruvka, Susan A. Murphy, Predrag V. Klasnja
2017	—	`ch.`	From Ads to Interventions: Contextual Bandits in Mobile Health. Mobile Health - Sensors, Analytic Methods, and Applications Ambuj Tewari, Susan A. Murphy
2017	—	`ch.`	From Markers to Interventions: The Case of Just-in-Time Stress Intervention. Mobile Health - Sensors, Analytic Methods, and Applications Hillol Sarker, Karen Hovsepian, Soujanya Chatterjee, Inbal Nahum-Shani, Susan A. Murphy, Bonnie Spring, Emre Ertin, Mustafa al'Absi, Motohiro Nakajima, Santosh Kumar
2017	—	`ch.`	Introduction to Part I: mHealth Applications and Tools. Mobile Health - Sensors, Analytic Methods, and Applications Santosh Kumar, James M. Rehg, Susan A. Murphy
2017	—	`ch.`	Introduction to Part II: Sensors to mHealth Markers. Mobile Health - Sensors, Analytic Methods, and Applications Santosh Kumar, James M. Rehg, Susan A. Murphy
2017	—	`ch.`	Introduction to Part III: Markers to mHealth Predictors. Mobile Health - Sensors, Analytic Methods, and Applications James M. Rehg, Susan A. Murphy, Santosh Kumar
2017	—	`ch.`	Introduction to Part IV: Predictors to mHealth Interventions. Mobile Health - Sensors, Analytic Methods, and Applications Susan A. Murphy, James M. Rehg, Santosh Kumar
2017	—	`book`	Mobile Health - Sensors, Analytic Methods, and Applications James M. Rehg, Susan A. Murphy, Santosh Kumar
2017	—	`conf`	SARA: a mobile app to engage users in health data collection. UbiComp/ISWC Adjunct Mashfiqui Rabbi, Meredith Philyaw-Kotov, Jinseok Lee, Anthony Mansour, Laura Dent, Xiaolei Wang, Rebecca M. Cunningham, Erin E. Bonar, Inbal Nahum-Shani, Predrag V. Klasnja, Maureen A. Walton, Susan A. Murphy
2017	A*	`conf`	iSurvive: An Interpretable, Event-time Prediction Model for mHealth. ICML Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg
2016	J	`jnl`	A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward. CoRR Susan A. Murphy, Yanzhen Deng, Eric B. Laber, Hamid Reza Maei, Richard S. Sutton, Katie Witkiewitz
2015	J	`jnl`	Center of excellence for mobile sensor data-to-knowledge (MD2K). J. Am. Medical Informatics Assoc. Santosh Kumar, Gregory D. Abowd, William T. Abraham, Mustafa al'Absi, J. Gayle Beck, Duen Horng Chau, Tyson Condie, David E. Conroy, Emre Ertin, Deborah Estrin, Deepak Ganesan, Cho Lam, Benjamin M. Marlin, Clay B. Marsh, Susan A. Murphy, Inbal Nahum-Shani, Kevin Patrick, James M. Rehg, Moushumi Sharmin, Vivek Shetty, Ida Sim, Bonnie Spring, Mani B. Srivastava, David W. Wetter
2014	C	`conf`	Budgeted Learning for Developing Personalized Treatment. ICMLA Kun Deng, Russ Greiner, Susan A. Murphy
2013	—	`conf`	A robust MPC approach to the design of behavioural treatments. CDC Korkut Bekiroglu, Constantino M. Lagoa, Susan A. Murphy, Stephanie T. Lanza
2013	J	`jnl`	Batch mode reinforcement learning based on the synthesis of artificial trajectories. Ann. Oper. Res. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2013	A*	`conf`	Linear Fitted-Q Iteration with Multiple Reward Functions. ICAPS Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2013	J	`jnl`	Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Rev. d'Intelligence Artif. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2012	J	`jnl`	Active Learning for Developing Personalized Treatment CoRR Kun Deng, Joelle Pineau, Susan A. Murphy
2012	J	`jnl`	Linear fitted-Q iteration with multiple reward functions. J. Mach. Learn. Res. Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
2012	J	`jnl`	Small Sample Inference for Generalization Error in Classification Using the CUD Bound CoRR Eric B. Laber, Susan A. Murphy
2011	A	`conf`	Active Learning for Developing Personalized Treatment. UAI Kun Deng, Joelle Pineau, Susan A. Murphy
2011	—	`conf`	Active exploration by searching for experiments that falsify the computed control policy. ADPRL Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2011	—	`conf`	Active learning for personalizing treatment. ADPRL Kun Deng, Joelle Pineau, Susan A. Murphy
2011	J	`jnl`	Estimation Monte Carlo sans modèle de politiques de décision. Rev. d'Intelligence Artif. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2011	J	`jnl`	Informing sequential clinical decision-making through reinforcement learning: an empirical study. Mach. Learn. Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy
2010	—	`conf`	A Cautious Approach to Generalization in Reinforcement Learning. ICAART (1) Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2010	A*	`conf`	Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. ICML Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
2010	A	`conf`	Model-Free Monte Carlo-like Policy Evaluation. AISTATS Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2010	—	`conf`	Towards Min Max Generalization in Reinforcement Learning. ICAART (Revised Selected Papers) Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2009	—	`conf`	Inferring bounds on the performance of a control policy from a sample of trajectories. ADPRL Raphaël Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2008	A	`conf`	Small Sample Inference for Generalization Error in Classification Using the CUD Bound. UAI Eric B. Laber, Susan A. Murphy
2007	B	`conf`	Variable Selection for Optimal Decision Making. AIME Lacey Gunter, Ji Zhu, Susan A. Murphy
2005	J	`jnl`	A Generalization Error for Q-Learning. J. Mach. Learn. Res. Susan A. Murphy