Feb. 23, 2024, 5:43 a.m. | Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.14807v1 Announce Type: cross
Abstract: Efforts to reduce maternal mortality rate, a key UN Sustainable Development target (SDG Target 3.1), rely largely on preventative care programs to spread critical health information to high-risk populations. These programs face two important challenges: efficiently allocating limited health resources to large beneficiary populations, and adapting to evolving policy priorities. While prior works in restless multi-armed bandit (RMAB) demonstrated success in public health allocation tasks, they lack flexibility to adapt to evolving policy priorities. Concurrently, …

abstract arxiv challenges cs.ai cs.lg cs.ma decision development dynamic face health information key language language model mortality public public health rate reduce resources risk sustainable sustainable development tasks type

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