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 Deterministic Policy Gradient Reinforcement Learning B..:
Sabahi, Kamran
;
Jamil, Mohsin
;
Shokri-Kalandaragh, Yaser
..
IEEE Canadian Journal of Electrical and Computer Engineering. 47 (2024) 1 - p. 15-21 , 2024
Link:
https://doi.org/10.1109/icjece.2024.3353670
RT Journal T1
Deep Deterministic Policy Gradient Reinforcement Learning Based Adaptive PID Load Frequency Control of an AC Micro-Grid
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_icjece.2024.3353670&Exemplar=1&LAN=DE A1 Sabahi, Kamran A1 Jamil, Mohsin A1 Shokri-Kalandaragh, Yaser A1 Tavan, Mehdi A1 Arya, Yogendra PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 2694-1783 JF IEEE Canadian Journal of Electrical and Computer Engineering VO 47 IS 1 SP 15 OP 21 LK http://dx.doi.org/https://doi.org/10.1109/icjece.2024.3353670 DO https://doi.org/10.1109/icjece.2024.3353670 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)