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
A Data Enhancement Strategy for Multi-Agent Cooperative Hun..:
, In:
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)
,
Gao, Zhenkun
;
Dai, Xiaoyan
;
Yao, Meibao
. - p. 1-8 , 2023
Link:
https://doi.org/10.1109/ICPS58381.2023.10128078
RT T1 <cTitle>2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)</cTitle>: T1 <Title>A Data Enhancement Strategy for Multi-Agent Cooperative Hunting based on Deep Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10128078&Exemplar=1&LAN=DE A1 Gao, Zhenkun A1 Dai, Xiaoyan A1 Yao, Meibao A1 Xiao, Xueming YR 2023 SN 2769-3899 K1 Training K1 Service robots K1 Simulation K1 Training data K1 Reinforcement learning K1 Predictive models K1 Data models K1 Multi robot systems K1 Data enhancement K1 Multi robot hunting SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ICPS58381.2023.10128078 DO https://doi.org/10.1109/ICPS58381.2023.10128078 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
