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COVID-19 vaccine incentive scheduling using an optimally controlled reinforcement learning model
We model Covid-19 vaccine uptake as a reinforcement learning dynamic between two populations: the vaccine adopters, and the vaccine hesitant. Using data available from the Center for Disease Control (CDC), we estimate the payoff matrix governing the interaction between these two groups over time and...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754750/ https://www.ncbi.nlm.nih.gov/pubmed/36540277 http://dx.doi.org/10.1016/j.physd.2022.133613 |