Susan A. Murphy
Orcid: 0000-0002-2032-4286Affiliations:
- Harvard University, Cambridge, MA, USA
- University of Michigan, Ann Arbor, MI, USA
According to our database1,
Susan A. Murphy
authored at least 85 papers
between 2005 and 2024.
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Online presence:
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on orcid.org
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On csauthors.net:
Bibliography
2024
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling.
Mach. Learn., July, 2024
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning.
J. Mach. Learn. Res., 2024
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings.
CoRR, 2024
CoRR, 2024
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation.
CoRR, 2024
CoRR, 2024
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning.
CoRR, 2024
CoRR, 2024
Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration.
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Trans. Mach. Learn. Res., 2023
A randomized trial of a mobile health intervention to augment cardiac rehabilitation.
npj Digit. Medicine, 2023
Estimating causal effects with optimization-based methods: A review and empirical comparison.
Eur. J. Oper. Res., 2023
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines.
Algorithms, 2022
Proceedings of the IEEE International Conference on Digital Health, 2022
2021
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Machine Learning for Healthcare Conference, 2021
2020
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health.
CoRR, 2020
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations.
CoRR, 2020
Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health.
CoRR, 2019
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
2017
IEEE Trans. Control. Syst. Technol., 2017
IEEE Pervasive Comput., 2017
Addressing the Computational Challenges of Personalized Medicine (Dagstuhl Seminar 17472).
Dagstuhl Reports, 2017
An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
2016
CoRR, 2016
2015
J. Am. Medical Informatics Assoc., 2015
2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Rev. d'Intelligence Artif., 2013
Ann. Oper. Res., 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
2011
Rev. d'Intelligence Artif., 2011
Informing sequential clinical decision-making through reinforcement learning: an empirical study.
Mach. Learn., 2011
Proceedings of the UAI 2011, 2011
Active exploration by searching for experiments that falsify the computed control policy.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Agents and Artificial Intelligence - Second International Conference, 2010
A Cautious Approach to Generalization in Reinforcement Learning.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
2009
Inferring bounds on the performance of a control policy from a sample of trajectories.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2008
Small Sample Inference for Generalization Error in Classification Using the CUD Bound.
Proceedings of the UAI 2008, 2008
2007
Proceedings of the Artificial Intelligence in Medicine, 2007
2005