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
Low Carbon City Traffic Signal Control Based on Deep Reinfo..:
, In:
2023 Panda Forum on Power and Energy (PandaFPE)
,
Yang, Dan
;
Zai, Wenjiao
;
Yan, Lisha
. - p. 1797-1801 , 2023
Link:
https://doi.org/10.1109/PandaFPE57779.2023.10140589
RT T1
2023 Panda Forum on Power and Energy (PandaFPE)
: T1
Low Carbon City Traffic Signal Control Based on Deep Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10140589&Exemplar=1&LAN=DE A1 Yang, Dan A1 Zai, Wenjiao A1 Yan, Lisha A1 Wang, Junjie YR 2023 K1 Deep learning K1 Simulation K1 Roads K1 Urban areas K1 Reinforcement learning K1 Stability analysis K1 Timing K1 traffic congestion K1 deep reinforcement learning K1 priority experience replay K1 sumo K1 traffic signal control SP 1797 OP 1801 LK http://dx.doi.org/https://doi.org/10.1109/PandaFPE57779.2023.10140589 DO https://doi.org/10.1109/PandaFPE57779.2023.10140589 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)