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Applied Artificial Intelligence

An International Journal

Volume 36, 2022 - Issue 1

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Research Article

A Reinforcement Learning Based Decision Support Tool for Epidemic Control: Validation Study for COVID-19

Mohamed-Amine ChadiDepartment of Computer Science, University of Cadi Ayyad, Marrakech, MoroccoCorrespondence[email protected]

https://orcid.org/0000-0003-3260-0978 View further author information

Hajar MousannifDepartment of Computer Science, University of Cadi Ayyad, Marrakech, MoroccoView further author information

Article: 2031821 | Received 09 Oct 2021, Accepted 18 Jan 2022, Published online: 08 Feb 2022

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https://doi.org/10.1080/08839514.2022.2031821
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Citations (3)

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Articles from other publishers (3)

Yao Yao, Hanchu Zhou, Zhidong Cao, Daniel Dajun Zeng & Qingpeng Zhang. (2023) Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China. Journal of the American Medical Informatics Association.
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Arafat Abu Mallouh, Zakariya Qawaqneh, Omar Abuzaghleh & Ahmad Al-Rababa’A. (2023) A New Efficient Method for Refining the Reinforcement Learning Algorithm to Train Deep Q Agents for Reaching a Consensus in P2P Networks. IEEE Access 11, pages 38665-38679.
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Jonas Botz, Danqi Wang, Nicolas Lambert, Nicolas Wagner, Marie Génin, Edward Thommes, Sumit Madan, Laurent Coudeville & Holger Fröhlich. (2022) Modeling approaches for early warning and monitoring of pandemic situations as well as decision support. Frontiers in Public Health 10.
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