Results

eNauka >  Results >  Multi-Agent Temporal-Difference Learning with Linear Function Approximation: Weak Convergence under Time-Varying Network Topologies
Title: Multi-Agent Temporal-Difference Learning with Linear Function Approximation: Weak Convergence under Time-Varying Network Topologies
Authors: Stanković, Miloš  ; Stanković, Srđan 
Issue Date: 2016
Publication: Proc. American Control Conference (ACC)
ISSN: 2378-5861 Search Idenfier
Publisher: IEEE, Boston, MA, USA
Type: Conference Paper
ISBN: 978-1-4673-8682-1 Search Idenfier
Collation: str. 167-172
DOI: 10.1109/ACC.2016.7524910
WoS-ID: 000388376100029
Scopus-ID: 2-s2.0-84992157110
URI: http://ieeexplore.ieee.org/abstract/document/7524910/
https://enauka.gov.rs/handle/123456789/222323
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/6023
URL: http://ieeexplore.ieee.org/abstract/document/7524910/
https://doi.org/10.1109%2FACC.2016.7524910
Metadata source: Migracija
M-category: 
Mp. category will be shown later

33
SCOPUSTM
10
OpenCitations
26
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.