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
OSSP-PTA: An Online Stochastic Stepping Policy for PTA on R..:
Niu, Dan
;
Dong, Yichao
;
Jin, Zhou
...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42 (2023) 11 - p. 4310-4323 , 2023
Link:
https://doi.org/10.1109/tcad.2023.3251731
RT Journal T1 <Title>OSSP-PTA: An Online Stochastic Stepping Policy for PTA on Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tcad.2023.3251731&Exemplar=1&LAN=DE A1 Niu, Dan A1 Dong, Yichao A1 Jin, Zhou A1 Zhang, Chuan A1 Li, Qi A1 Sun, Changyin PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 0278-0070 SN 1937-4151 JF IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems VO 42 IS 11 SP 4310 OP 4323 LK http://dx.doi.org/https://doi.org/10.1109/tcad.2023.3251731 DO https://doi.org/10.1109/tcad.2023.3251731 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
