Surrogate-agent modeling for improved training

Number of the records: 1

Title	Surrogate-agent modeling for improved training
Author	Tavčar Aleš
Co-authors	Kaluza Bostjan
	Kvassay Marcel 1968- SAVINFO - Ústav informatiky SAV ^SCOPUS ^RID ^ORCID
	Schneider Bernhard 1980
	Gams Matjaž

Source document	Frontiers in Artificial Intelligence and Applications. Vol. 263 (2014), p. 1103-1104
Language	eng - English
Note	21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic, August 18-22, 2014
Document kind	rozpis článkov z periodík (rbx)
Citations	DOVGAN, E. - SODNIK, J. - FILIPIC, B. Optimization of end-to-end deep learning for obtaining human-like driving models. In International Conference on High-Performance Optimization in Industry (HPOI 2018). ISSN 2630-371X, 2018, vol. D, pp. 27-30.
	SUN, Yuxiang - ZHOU, Xianzhong - LI, Dongpo. Research on the construction of underwater platform combat deduction system based on service-oriented and multi-agent technology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2019-01-01, 11656 LNCS, pp. 11-22.
Category	ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
Category of document (from 2022)	V3 - Vedecký výstup publikačnej činnosti z časopisu
Type of document	článok
Year	2014
Registered in	WOS
Registered in	SCOPUS
DOI	10.3233/978-1-61499-419-0-1103

article

rok	CC	IF	IF Q (best)	JCR Av Jour IF Perc	SJR	SJR Q (best)	CiteScore
	N

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2014	2013			0.275	Q3

Number of the records: 1