University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Explorative Imitation Learning : A Path Signature Approach for Continuous Environments

dc.contributor.authorGavenski, Nathan
dc.contributor.authorMonteiro, Juarez
dc.contributor.authorMeneguzzi, Felipe
dc.contributor.authorLuck, Michael
dc.contributor.authorRodrigues, Odinaldo
dc.contributor.institutionUniversity of Aberdeen.Agents at Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2025-02-03T09:51:01Z
dc.date.available2025-02-03T09:51:01Z
dc.date.issued2024-10-24
dc.format.extent8
dc.format.extent492170
dc.identifier301114105
dc.identifiera8d9ad76-5cca-475f-bf3b-727ad29a1ccd
dc.identifier85213401634
dc.identifier.citationGavenski, N, Monteiro, J, Meneguzzi, F, Luck, M & Rodrigues, O 2024, Explorative Imitation Learning : A Path Signature Approach for Continuous Environments. in ECAI 2024 : 27th European Conference on Artificial Intelligence 19–24 October 2024, Santiago de Compostela, Spain. Frontiers in Artificial Intelligence and Applications, vol. 392, IOS Press, pp. 1551 - 1558, 27th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 19/10/24. https://doi.org/10.3233/FAIA240660en
dc.identifier.citationconferenceen
dc.identifier.doi10.3233/FAIA240660
dc.identifier.isbn978-1-64368-548-9
dc.identifier.issn0922-6389
dc.identifier.otherORCID: /0000-0003-3549-6168/work/177256449
dc.identifier.urihttps://hdl.handle.net/2164/24974
dc.identifier.vol392en
dc.language.isoeng
dc.publisherIOS Press
dc.relation.ispartofECAI 2024en
dc.relation.ispartofseriesFrontiers in Artificial Intelligence and Applicationsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleExplorative Imitation Learning : A Path Signature Approach for Continuous Environmentsen
dc.typeConference itemen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Gavenski_etal_FAIA_Explorative_Imitation_Learning_VOR.pdf
Size:
480.63 KB
Format:
Adobe Portable Document Format

Collections