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
Decision-making Method Based on Multi-agent Deep Reinforcem..:
, In:
2022 IEEE International Conference on Unmanned Systems (ICUS)
,
Bian, Weiwei
;
Wang, Chunguang
;
Liu, Chan
... - p. 459-464 , 2022
Link:
https://doi.org/10.1109/ICUS55513.2022.9987201
RT T1
2022 IEEE International Conference on Unmanned Systems (ICUS)
: T1
Decision-making Method Based on Multi-agent Deep Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9987201&Exemplar=1&LAN=DE A1 Bian, Weiwei A1 Wang, Chunguang A1 Liu, Chan A1 Huang, Kuihua A1 Mi, Ying A1 Jia, Yanxiang YR 2022 SN 2771-7372 K1 Deep learning K1 Protocols K1 Heuristic algorithms K1 Simulation K1 Decision making K1 Reinforcement learning K1 Task analysis K1 MADRL K1 decision architecture K1 multi-agent K1 deep Q-value network SP 459 OP 464 LK http://dx.doi.org/https://doi.org/10.1109/ICUS55513.2022.9987201 DO https://doi.org/10.1109/ICUS55513.2022.9987201 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)