print

Joint optimization via deep reinforcement learning in wireless networked controlled systems

author
Ashraf, Kanwal
Le Moullec, Yannick
Pardy, Tamas
Rang, Toomas
statement of authorship
Kanwal Ashraf, Yannick Le Moullec, Tamas Pardy, Toomas Rang
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 10
year of publication
2022
pages
p. 67152-67167
url
https://doi.org/10.1109/ACCESS.2022.3185244
subject term
tootlus
kontroll
algoritmid
võrguhaldus
keyword
wireless networked control systems
co-design strategies
reinforcement learning
ISSN
2169-3536
notes
Bibliogr.: 73 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
kvartiil
Q1
TTÜ department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Uurimisrühm
Research laboratory for cognitronics
Cognitronic lab-on-a-chip research group
Ashraf, K., Le Moullec, Y., Pardy, T., Rang, T. Joint optimization via deep reinforcement learning in wireless networked controlled systems // IEEE Access (2022) vol. 10, p. 67152-67167. https://doi.org/10.1109/ACCESS.2022.3185244