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

Jaap Kamps|Luis Miralles-Pechuán|Fernando Jiménez|Luis Miralles-Pechuán|Jaap Kamps|Hiram Ponce|Lourdes Martínez-Villaseñor


Anthology ID:DBLP:conf/cikm/Miralles-Pechuan20
Volume:CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
Year:2020
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1135-1144
URL:https://doi.org/10.1145/3340531.3412179
DOI:https://doi.org/10.1145/3340531.3412179
DBLP:conf/cikm/Miralles-Pechuan20
BibTeX:
@inproceedings{kamps-2020-methodology, author = {Jaap Kamps and Luis Miralles-Pechu\'{a}n and Fernando Jim\'{e}nez and Luis Miralles-Pechu\'{a}n and Jaap Kamps and Hiram Ponce and Lourdes Mart\'{i}nez-Villase\~{n}or}, editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudr\'{e}-Mauroux}, title = {{A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions}}, booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}}, pages = {1135--1144}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3340531.3412179}, doi = {https://doi.org/10.1145/3340531.3412179} }