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dc.contributor.authorLechner, Mathias
dc.contributor.authorHasani, Ramin
dc.contributor.authorGrosu, Radu
dc.contributor.authorRus, Daniela
dc.contributor.authorHenzinger, Thomas A
dc.date.accessioned2022-07-26T15:13:49Z
dc.date.available2022-07-26T15:13:49Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/144044
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/ICRA48506.2021.9561036en_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.titleAdversarial Training is Not Ready for Robot Learningen_US
dc.typeArticleen_US
dc.identifier.citationLechner, Mathias, Hasani, Ramin, Grosu, Radu, Rus, Daniela and Henzinger, Thomas A. 2021. "Adversarial Training is Not Ready for Robot Learning." 2021 IEEE International Conference on Robotics and Automation (ICRA).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journal2021 IEEE International Conference on Robotics and Automation (ICRA)en_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.updated2022-07-26T15:10:35Z
dspace.orderedauthorsLechner, M; Hasani, R; Grosu, R; Rus, D; Henzinger, TAen_US
dspace.date.submission2022-07-26T15:10:38Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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