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pro vyhledávání: '"Tian, Muhang"'
Autor:
Zhu, Chloe Qinyu, Tian, Muhang, Semenova, Lesia, Liu, Jiachang, Xu, Jack, Scarpa, Joseph, Rudin, Cynthia
Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap
Externí odkaz:
http://arxiv.org/abs/2311.13015
We study multi-objective reinforcement learning with nonlinear preferences over trajectories. That is, we maximize the expected value of a nonlinear function over accumulated rewards (expected scalarized return or ESR) in a multi-objective Markov Dec
Externí odkaz:
http://arxiv.org/abs/2311.02544
Electronic Health Records (EHRs) are rich sources of patient-level data, offering valuable resources for medical data analysis. However, privacy concerns often restrict access to EHRs, hindering downstream analysis. Current EHR de-identification meth
Externí odkaz:
http://arxiv.org/abs/2310.15290
We study fair multi-objective reinforcement learning in which an agent must learn a policy that simultaneously achieves high reward on multiple dimensions of a vector-valued reward. Motivated by the fair resource allocation literature, we model this
Externí odkaz:
http://arxiv.org/abs/2212.01382
Akademický článek
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