Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning

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dc.contributor.authorWenshuai Zhao
dc.contributor.authorJorge Peña Queralta
dc.contributor.authorLi Qingqing
dc.contributor.authorTomi Westerlund
dc.contributor.organizationfi=robotiikka ja autonomiset järjestelmät|en=Robotics and Autonomous Systems|
dc.contributor.organizationfi=tietotekniikan laitos|en=Department of Computing|
dc.contributor.organization-code1.2.246.10.2458963.20.72785230805
dc.contributor.organization-code1.2.246.10.2458963.20.85312822902
dc.contributor.organization-code2610300
dc.converis.publication-id51395933
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/51395933
dc.date.accessioned2022-10-28T13:30:45Z
dc.date.available2022-10-28T13:30:45Z
dc.format.pagerange12
dc.format.pagerange7
dc.identifier.eisbn978-1-7281-8981-9
dc.identifier.isbn978-1-7281-8982-6
dc.identifier.olddbid182596
dc.identifier.oldhandle10024/165690
dc.identifier.urihttps://www.utupub.fi/handle/11111/39946
dc.identifier.urnURN:NBN:fi-fe2021042827426
dc.language.isoen
dc.okm.affiliatedauthorPeña Queralta, Jorge
dc.okm.affiliatedauthorLi, Qingqing
dc.okm.affiliatedauthorWesterlund, Tomi
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.conferenceInternational Conference on Robotics and Automation Engineering
dc.relation.doi10.1109/ICRAE50850.2020.9310796
dc.source.identifierhttps://www.utupub.fi/handle/10024/165690
dc.titleTowards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
dc.title.book2020 5th International Conference on Robotics and Automation Engineering (ICRAE 2020) November 20-22, 2020 Singapore
dc.year.issued2021

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