| Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines AL Trella, KW Zhang, I Nahum-Shani, V Shetty, F Doshi-Velez, SA Murphy Algorithms 15 (8), 255, 2022 | 35 | 2022 |
| Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care AL Trella, KW Zhang, I Nahum-Shani, V Shetty, F Doshi-Velez, SA Murphy Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15724 …, 2023 | 19 | 2023 |
| Item identification based on receipt image MRD Almeida, TA Tran, J Jung, R Patel, AJ Li, T Toor, ST Peng US Patent 11,257,049, 2022 | 10 | 2022 |
| Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol I Nahum-Shani, ZM Greer, AL Trella, KW Zhang, SM Carpenter, ... Contemporary Clinical Trials 139, 107464, 2024 | 4 | 2024 |
| Replicable Bandits for Digital Health Interventions KW Zhang, N Closser, AL Trella, SA Murphy arXiv preprint arXiv:2407.15377, 2024 | | 2024 |
| Oralytics Reinforcement Learning Algorithm AL Trella, KW Zhang, SM Carpenter, D Elashoff, ZM Greer, ... arXiv preprint arXiv:2406.13127, 2024 | | 2024 |
| Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials AL Trella, KW Zhang, I Nahum-Shani, V Shetty, I Yan, F Doshi-Velez, ... arXiv preprint arXiv:2402.17003, 2024 | | 2024 |
| Non-Stationary Latent Auto-Regressive Bandits AL Trella, W Dempsey, F Doshi-Velez, SA Murphy arXiv preprint arXiv:2402.03110, 2024 | | 2024 |
| Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data AL Trella, PN Argaw, MM Li, JA Hay IJCAI 2021 Workshop on Artificial Intelligence for Social Good, 2021 | | 2021 |
Susan MurphyHarvard University在 g.harvard.edu 的电子邮件经过验证
