I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Deep Reinforcement Learning Multi-Agent System for Resource..:
Julia Rosenberger
;
Michael Urlaub
;
Felix Rauterberg
...
https://www.mdpi.com/1424-8220/22/11/4099. , 2022
Link:
https://doi.org/10.3390/s22114099
RT Journal T1
Deep Reinforcement Learning Multi-Agent System for Resource Allocation in Industrial Internet of Things
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ea10d19e68504fd4beb4cd393c7c07d2&Exemplar=1&LAN=DE A1 Julia Rosenberger A1 Michael Urlaub A1 Felix Rauterberg A1 Tina Lutz A1 Andreas Selig A1 Michael Bühren A1 Dieter Schramm PB MDPI AG YR 2022 K1 deep reinforcement learning K1 multi-agent system K1 Industrial Internet of Things K1 load balancing K1 resource allocation K1 dynamic network K1 Chemical technology K1 TP1-1185 JF https://www.mdpi.com/1424-8220/22/11/4099 LK http://dx.doi.org/https://doi.org/10.3390/s22114099 DO https://doi.org/10.3390/s22114099 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)