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dc.contributor.authorGan, Chuang
dc.contributor.authorBhandwaldar, Abhishek
dc.contributor.authorTorralba, Antonio
dc.contributor.authorTenenbaum, Joshua B
dc.contributor.authorIsola, Phillip
dc.date.accessioned2022-06-29T18:55:09Z
dc.date.available2022-06-29T18:55:09Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143604
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/IROS51168.2021.9636830en_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.titleOPEn: An Open-ended Physics Environment for Learning Without a Tasken_US
dc.typeArticleen_US
dc.identifier.citationGan, Chuang, Bhandwaldar, Abhishek, Torralba, Antonio, Tenenbaum, Joshua B and Isola, Phillip. 2021. "OPEn: An Open-ended Physics Environment for Learning Without a Task." 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
dc.contributor.departmentMIT-IBM Watson AI Lab
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.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentCenter for Brains, Minds, and Machines
dc.relation.journal2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)en_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.updated2022-06-29T18:51:51Z
dspace.orderedauthorsGan, C; Bhandwaldar, A; Torralba, A; Tenenbaum, JB; Isola, Pen_US
dspace.date.submission2022-06-29T18:51:55Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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