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dc.contributor.authorFlaspohler, Genevieve
dc.contributor.authorPreston, Victoria
dc.contributor.authorMichel, Anna PM
dc.contributor.authorGirdhar, Yogesh
dc.contributor.authorRoy, Nicholas
dc.date.accessioned2021-10-27T20:34:35Z
dc.date.available2021-10-27T20:34:35Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/136264
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.isversionof10.1109/LRA.2019.2929997
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcearXiv
dc.titleInformation-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentWoods Hole Oceanographic Institution
dc.relation.journalIEEE Robotics and Automation Letters
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-05-03T18:20:49Z
dspace.orderedauthorsFlaspohler, G; Preston, V; Michel, APM; Girdhar, Y; Roy, N
dspace.date.submission2021-05-03T18:20:51Z
mit.journal.volume4
mit.journal.issue4
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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