dc.contributor.author | Peters, Jan | |
dc.date.accessioned | 2020-05-27T14:24:33Z | |
dc.date.available | 2020-05-27T14:24:33Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1879-2782 | |
dc.identifier.uri | http://hdl.handle.net/10900/101016 | |
dc.language.iso | en | en |
dc.publisher | Pergamon - Elsevier Science Ltd | de_DE |
dc.relation.uri | http://dx.doi.org/10.1016/j.neunet.2018.10.005 | |
dc.subject.ddc | 004 | de_DE |
dc.subject.ddc | 610 | de_DE |
dc.subject.ddc | 570 | de_DE |
dc.title | Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks | de_DE |
dc.type | Article | de_DE |
utue.quellen.id | 20190926111821_03382 | |
utue.publikation.seiten | 67-80 | de_DE |
utue.personen.roh | Tanneberg, Daniel | |
utue.personen.roh | Peters, Jan | |
utue.personen.roh | Rueckert, Elmar | |
dcterms.isPartOf.ZSTitelID | Neural Networks | de_DE |
dcterms.isPartOf.ZS-Volume | 109 | de_DE |
utue.fakultaet | Sonstige |
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