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Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning: An AI-Driven Control Approach Compatible with Existing Disease and Network Models
There has been intense debate about lockdown policies in the context of Covid-19 for limiting damage both to health and to the economy. We present an AI-driven approach for generating optimal lockdown policies that control the spread of the disease while balancing both health and economic costs. Fur...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311597/ http://dx.doi.org/10.1007/s41403-020-00129-3 |