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 for Dynamic Demand in Shared Bi..:
, In:
2023 9th International Conference on Big Data and Information Analytics (BigDIA)
,
Jiao, Zixiao
;
Xiao, Wenhua
;
Xin, Hailu
... - p. 557-564 , 2023
Link:
https://doi.org/10.1109/BigDIA60676.2023.10429476
RT T1 <cTitle>2023 9th International Conference on Big Data and Information Analytics (BigDIA)</cTitle>: T1 <Title>Deep Reinforcement Learning for Dynamic Demand in Shared Bicycle Scheduling Problem</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10429476&Exemplar=1&LAN=DE A1 Jiao, Zixiao A1 Xiao, Wenhua A1 Xin, Hailu A1 Liu, Daqian A1 Yan, Hui A1 Chen, Chao YR 2023 SN 2771-6902 K1 Deep learning K1 Processor scheduling K1 Heuristic algorithms K1 Bicycles K1 Reinforcement learning K1 Dynamic scheduling K1 Vehicle dynamics K1 Deep Reinforcement Learning K1 shared bicycle scheduling K1 VRPSPDTW K1 Dynamic Demand SP 557 OP 564 LK http://dx.doi.org/https://doi.org/10.1109/BigDIA60676.2023.10429476 DO https://doi.org/10.1109/BigDIA60676.2023.10429476 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
