A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions-Reference-Cited by-同舟云学术

A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Miralles-Pechuán Luis¹,Jiménez Fernando²,Ponce Hiram³,Martínez-Villaseñor L.³

Affiliation:

1. University College Dublin, Dublin, Ireland

2. University of Murcia, Murcia, Spain

3. Universidad Panamericana, Mexico City, Mexico

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412179

Reference41 articles.

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3. Sina F Ardabili Amir Mosavi Pedram Ghamisi Filip Ferdinand Annamaria R Varkonyi-Koczy Uwe Reuter Timon Rabczuk and Peter M Atkinson. 2020. COVID-19 Outbreak Prediction with Machine Learning. Available at SSRN 3580188 (2020). Sina F Ardabili Amir Mosavi Pedram Ghamisi Filip Ferdinand Annamaria R Varkonyi-Koczy Uwe Reuter Timon Rabczuk and Peter M Atkinson. 2020. COVID-19 Outbreak Prediction with Machine Learning. Available at SSRN 3580188 (2020).

4. Selective pressure in evolutionary algorithms: a characterization of selection mechanisms

5. Mucahid Barstugan Umut Ozkaya and Saban Ozturk. 2020. Coronavirus (covid- classification using ct images by machine learning methods. arXiv preprint arXiv:2003.09424 (2020). Mucahid Barstugan Umut Ozkaya and Saban Ozturk. 2020. Coronavirus (covid- classification using ct images by machine learning methods. arXiv preprint arXiv:2003.09424 (2020).

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