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
Utility Decomposition with Deep Corrections for Scalable Pl..:
, In:
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
,
Bouton, Maxime
;
Julian, Kyle
;
Nakhaei, Alireza
.. - p. 462-469 , 2018
Link:
https://dl.acm.org/doi/10.5555/3237383.3237453
RT T1 <cTitle>Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3237453&Exemplar=1&LAN=DE A1 Bouton, Maxime A1 Julian, Kyle A1 Nakhaei, Alireza A1 Fujimura, Kikuo A1 Kochenderfer, Mykel J. PB International Foundation for Autonomous Agents and Multiagent Systems YR 2018 K1 autonomous driving K1 deep reinforcement learning K1 multi-fidelity optimization K1 utility decomposition K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Reinforcement learning K1 Computing methodologies K1 Artificial intelligence K1 Planning and scheduling K1 Planning under uncertainty SP 462 OP 469 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3237383.3237453 DO https://dl.acm.org/doi/10.5555/3237383.3237453 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
