Luis Miralles Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor. A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions. In Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux, editors, CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020. pages 1135-1144, ACM, 2020. [doi]
@inproceedings{Miralles-Pechuan20-1,
title = {A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions},
author = {Luis Miralles Pechuán and Fernando Jiménez and Hiram Ponce and Lourdes Martínez-Villaseñor},
year = {2020},
doi = {10.1145/3340531.3412179},
url = {https://doi.org/10.1145/3340531.3412179},
researchr = {https://researchr.org/publication/Miralles-Pechuan20-1},
cites = {0},
citedby = {0},
pages = {1135-1144},
booktitle = {CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020},
editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudré-Mauroux},
publisher = {ACM},
isbn = {978-1-4503-6859-9},
}