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Active Learning of Abstract Plan Feasibility

dc.contributor.authorNoseworthy, Michael
dc.contributor.authorBrand, Isaiah
dc.contributor.authorMoses, Caris
dc.contributor.authorCastro, Sebastian
dc.contributor.authorKaelbling, Leslie
dc.contributor.authorLozano-Perez, Tomas
dc.contributor.authorRoy, Nicholas
dc.date.accessioned2022-07-14T18:35:47Z
dc.date.available2022-07-14T18:35:47Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143742
dc.language.isoen
dc.publisherRobotics: Science and Systems Foundationen_US
dc.relation.isversionof10.15607/RSS.2021.XVII.043en_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.titleActive Learning of Abstract Plan Feasibilityen_US
dc.typeArticleen_US
dc.identifier.citationNoseworthy, Michael, Brand, Isaiah, Moses, Caris, Castro, Sebastian, Kaelbling, Leslie et al. 2021. "Active Learning of Abstract Plan Feasibility." Robotics: Science and Systems XVII.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalRobotics: Science and Systems XVIIen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-14T18:31:12Z
dspace.orderedauthorsNoseworthy, M; Brand, I; Moses, C; Castro, S; Kaelbling, L; Lozano-Perez, T; Roy, Nen_US
dspace.date.submission2022-07-14T18:31:36Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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