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
GQN: Multi-Agent Deep Reinforcement Learning based on Graph..:
, In:
2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
,
Zhou, Zeyu
;
Qian, Mideng
;
Zhang, Hao
. - p. 313-320 , 2023
Link:
https://doi.org/10.1109/ITAIC58329.2023.10408958
RT T1
2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
: T1
GQN: Multi-Agent Deep Reinforcement Learning based on Graph Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10408958&Exemplar=1&LAN=DE A1 Zhou, Zeyu A1 Qian, Mideng A1 Zhang, Hao A1 Chu, Xinkun YR 2023 SN 2693-2865 K1 Deep learning K1 Heuristic algorithms K1 Message passing K1 Scalability K1 Reinforcement learning K1 Autonomous aerial vehicles K1 Vehicle dynamics K1 Cooperation K1 scalability K1 multi-agent deep reinforcement learning K1 relational inductive bias K1 graph network K1 large-scale SP 313 OP 320 LK http://dx.doi.org/https://doi.org/10.1109/ITAIC58329.2023.10408958 DO https://doi.org/10.1109/ITAIC58329.2023.10408958 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)