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
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Envi..:
, In:
2023 International Joint Conference on Neural Networks (IJCNN)
,
Hu, Guangzheng
;
Li, Haoran
;
Liu, Shasha
.. - p. 1-8 , 2023
Link:
https://doi.org/10.1109/IJCNN54540.2023.10191291
RT T1 <cTitle>2023 International Joint Conference on Neural Networks (IJCNN)</cTitle>: T1 <Title>NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10191291&Exemplar=1&LAN=DE A1 Hu, Guangzheng A1 Li, Haoran A1 Liu, Shasha A1 Zhu, Yuanheng A1 Zhao, Dongbin YR 2023 SN 2161-4407 K1 Actuators K1 Codes K1 Neurons K1 Reinforcement learning K1 Benchmark testing K1 Task analysis K1 Observability K1 multi-agent reinforcement learning K1 benchamark K1 multi-robot SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN54540.2023.10191291 DO https://doi.org/10.1109/IJCNN54540.2023.10191291 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
