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
A Resource-efficient Task Scheduling System using Reinforce..:
, In:
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
,
Morchdi, Chedi
;
Chiu, Cheng-Hsiang
;
Zhou, Yi
. - p. 89-95 , 2024
Link:
https://doi.org/10.1109/ASP-DAC58780.2024.10473960
RT T1 <cTitle>2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)</cTitle>: T1 <Title>A Resource-efficient Task Scheduling System using Reinforcement Learning : Invited Paper</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10473960&Exemplar=1&LAN=DE A1 Morchdi, Chedi A1 Chiu, Cheng-Hsiang A1 Zhou, Yi A1 Huang, Tsung-Wei YR 2024 SN 2153-697X K1 Solid modeling K1 Job shop scheduling K1 Design automation K1 Runtime K1 Scheduling algorithms K1 Reinforcement learning K1 Very large scale integration K1 Reinforcement Learning K1 Task Scheduling SP 89 OP 95 LK http://dx.doi.org/https://doi.org/10.1109/ASP-DAC58780.2024.10473960 DO https://doi.org/10.1109/ASP-DAC58780.2024.10473960 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
