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dc.contributor.authorKarkus, Peter
dc.contributor.authorXiao, Ma
dc.contributor.authorHsu, David
dc.contributor.authorKaelbling, Leslie P
dc.contributor.authorLee, Wee Sun
dc.contributor.authorLozano-Perez, Tomas
dc.date.accessioned2022-07-15T20:09:14Z
dc.date.available2021-09-20T18:21:47Z
dc.date.available2022-07-15T20:09:14Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/132313.2
dc.language.isoen
dc.publisherRobotics: Science and Systems Foundationen_US
dc.relation.isversionof10.15607/RSS.2019.XV.039en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleDifferentiable Algorithm Networks for Composable Robot Learningen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalRobotics: Science and Systems XVen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2020-12-22T15:47:34Z
dspace.orderedauthorsKarkus, P; Ma, X; Hsu, D; Kaelbling, L; Sun Lee, W; Lozano-Perez, Ten_US
dspace.date.submission2020-12-22T15:47:39Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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