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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

dc.contributor.authorDai, Tianhong
dc.contributor.authorArulkumaran, Kai
dc.contributor.authorGerbert, Tamara
dc.contributor.authorTukra, Samyakh
dc.contributor.authorBehbahani, Feryal
dc.contributor.authorBharath, Anil Anthony
dc.date.accessioned2023-08-08T23:07:06Z
dc.date.available2023-08-08T23:07:06Z
dc.date.issued2022-07-07
dc.identifier221357000
dc.identifier8e4d12ba-5fee-44e0-8dd7-1d9ccd350c6e
dc.identifier.citationDai , T , Arulkumaran , K , Gerbert , T , Tukra , S , Behbahani , F & Bharath , A A 2022 , ' Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation ' , Neurocomputing , vol. 493 , pp. 143-165 . https://doi.org/10.1016/j.neucom.2022.04.005en
dc.identifier.issn0925-2312
dc.identifier.otherORCID: /0000-0001-8904-1551/work/122287634
dc.identifier.otherBibtex: DAI2022143
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19707
dc.format.extent23
dc.format.extent10620447
dc.language.isoeng
dc.relation.ispartofNeurocomputingen
dc.subjectDeep reinforcement learningen
dc.subjectGeneralisationen
dc.subjectInterpretabilityen
dc.subjectSaliencyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleAnalysing Deep Reinforcement Learning Agents Trained with Domain Randomisationen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2022.04.005
dc.identifier.urlhttp://dx.doi.org/10.1016/j.neucom.2022.04.005en
dc.identifier.vol493en


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