Optimal stroke learning with policy gradient approach for robotic table tennis

dc.contributor.author	Zell, Andreas
dc.contributor.author	Tebbe, Jonas
dc.contributor.author	Gao, Yapeng
dc.date.accessioned	2023-07-07T09:43:04Z
dc.date.available	2023-07-07T09:43:04Z
dc.date.issued	2022-10-08
dc.identifier.uri	http://hdl.handle.net/10900/143224
dc.language.iso	en	de_DE
dc.publisher	Springer Link	de_DE
dc.relation.uri	https://doi.org/10.1007/s10489-022-04131-w	de_DE
dc.subject.ddc	004	de_DE
dc.title	Optimal stroke learning with policy gradient approach for robotic table tennis	de_DE
dc.type	Article	de_DE
utue.publikation.seiten	13309–13322	de_DE
utue.personen.roh	Zell, Andreas
utue.personen.roh	Tebbe, Jonas
utue.personen.roh	Gao, Yapeng
dcterms.isPartOf.ZSTitelID	Applied Intelligence	de_DE
dcterms.isPartOf.ZS-Volume	53	de_DE