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A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan. (arXiv:2311.00855v1 [cs.AI])
cs.LG updates on arXiv.org arxiv.org
Human immunodeficiency virus (HIV) is a major public health concern in the
United States, with about 1.2 million people living with HIV and 35,000 newly
infected each year. There are considerable geographical disparities in HIV
burden and care access across the U.S. The 2019 Ending the HIV Epidemic (EHE)
initiative aims to reduce new infections by 90% by 2030, by improving coverage
of diagnoses, treatment, and prevention interventions and prioritizing
jurisdictions with high HIV prevalence. Identifying optimal scale-up of
intervention …
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