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dc.contributor.authorSilver, Tom
dc.contributor.authorChitnis, Rohan
dc.contributor.authorCurtis, Aidan
dc.contributor.authorTenenbaum, Joshua
dc.contributor.authorLozano-Perez, Tomas
dc.contributor.authorKaelbling, Leslie Pack
dc.contributor.authorIntelligence, Assoc Advancement Artificial
dc.date.accessioned2022-07-15T11:52:24Z
dc.date.available2022-07-15T11:52:24Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143749
dc.language.isoen
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.titlePlanning with Learned Object Importance in Large Problem Instances using Graph Neural Networksen_US
dc.typeArticleen_US
dc.identifier.citationSilver, Tom, Chitnis, Rohan, Curtis, Aidan, Tenenbaum, Joshua, Lozano-Perez, Tomas et al. 2021. "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks." THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 35.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalTHIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-14T19:24:44Z
dspace.orderedauthorsSilver, T; Chitnis, R; Curtis, A; Tenenbaum, J; Lozano-Perez, T; Kaelbling, LP; Intelligence, AAAen_US
dspace.date.submission2022-07-14T19:24:47Z
mit.journal.volume35en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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