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}
}