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
Evolving policy geometry for scalable multiagent learning:
, In:
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
,
D'Ambrosio, David B.
;
Lehman, Joel
;
Risi, Sebastian
. - p. 731-738 , 2010
Link:
https://dl.acm.org/doi/10.5555/1838206.1838303
RT T1 <cTitle>Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1</cTitle>: T1 <Title>Evolving policy geometry for scalable multiagent learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-1838303&Exemplar=1&LAN=DE A1 D'Ambrosio, David B. A1 Lehman, Joel A1 Risi, Sebastian A1 Stanley, Kenneth O. PB International Foundation for Autonomous Agents and Multiagent Systems YR 2010 K1 CPPNs K1 HyperNEAT K1 NEAT K1 evolutionary computation K1 multiagent learning K1 neural networks K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Artificial intelligence K1 Distributed artificial intelligence K1 Multi-agent systems SP 731 OP 738 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/1838206.1838303 DO https://dl.acm.org/doi/10.5555/1838206.1838303 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
