Susan A. Murphy
Affiliations: | University of Michigan, Ann Arbor, Ann Arbor, MI | ||
| Statistics and computer science | Harvard University, Cambridge, MA, United States |
Area:
StatisticsWebsite:
https://people.seas.harvard.edu/~samurphy/Google:
"Susan Murphy"Bio:
Parents
Sign in to add mentor| Pranab K. Sen | grad student | 1989 | UNC Chapel Hill | |
| (Time-Dependent Coefficients in a Cox-Type Regression Model) | ||||
Children
Sign in to add trainee| Donglin Zeng | grad student | 2001 | University of Michigan |
| Daniel Almirall | grad student | 2007 | University of Michigan |
| Lacey L. Gunter | grad student | 2009 | University of Michigan |
| Eric B. Laber | grad student | 2011 | University of Michigan |
| Anna L. Trella | grad student | 2020-2025 | Harvard |
| Raaz Dwivedi | post-doc | 2021- | Harvard (Neurotree) |
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Publications
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| Trella AL, Zhang KW, Jajal H, et al. (2025) A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial. Proceedings of the ... Aaai Conference On Artificial Intelligence. Aaai Conference On Artificial Intelligence. 39: 28792-28800 |
| Rathnam S, Parbhoo S, Swaroop S, et al. (2025) Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. Journal of Machine Learning Research : Jmlr. 25 |
| Nofshin E, Swaroop S, Pan W, et al. (2024) Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. Proceedings of the ... International Joint Conference On Autonomous Agents and Multiagent Systems : Aamas. International Joint Conference On Autonomous Agents and Multiagent Systems. 2024: 1482-1491 |
| Ghosh S, Kim R, Chhabria P, et al. (2024) Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Machine Learning. 113: 3961-3997 |
| Shin E, Klasnja P, Murphy SA, et al. (2024) Online model selection by learning how compositional kernels evolve. Transactions On Machine Learning Research. 2023 |
| Nahum-Shani I, Greer ZM, Trella AL, et al. (2024) Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol. Contemporary Clinical Trials. 107464 |
| Karine K, Klasnja P, Murphy SA, et al. (2023) Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. Proceedings of Machine Learning Research. 216: 1047-1057 |
| Rathnam S, Parbhoo S, Pan W, et al. (2023) The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. Proceedings of Machine Learning Research. 202: 28746-28767 |
| Trella AL, Zhang KW, Nahum-Shani I, et al. (2023) Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care. Proceedings of the ... Innovative Applications of Artificial Intelligence Conference. Innovative Applications of Artificial Intelligence Conference. 37: 15724-15730 |
| Trella AL, Zhang KW, Nahum-Shani I, et al. (2022) Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines. Algorithms. 15 |