Sangam: A Confluence of Knowledge Streams

Adversarial Training is Not Ready for Robot Learning

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dc.contributor Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.creator Lechner, Mathias
dc.creator Hasani, Ramin
dc.creator Grosu, Radu
dc.creator Rus, Daniela
dc.creator Henzinger, Thomas A
dc.date 2022-07-26T15:13:49Z
dc.date 2022-07-26T15:13:49Z
dc.date 2021
dc.date 2022-07-26T15:10:35Z
dc.date.accessioned 2023-03-01T18:11:59Z
dc.date.available 2023-03-01T18:11:59Z
dc.identifier https://hdl.handle.net/1721.1/144044
dc.identifier Lechner, 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.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/279125
dc.format application/pdf
dc.language en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation 10.1109/ICRA48506.2021.9561036
dc.relation 2021 IEEE International Conference on Robotics and Automation (ICRA)
dc.rights Creative Commons Attribution-Noncommercial-Share Alike
dc.rights http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source arXiv
dc.title Adversarial Training is Not Ready for Robot Learning
dc.type Article
dc.type http://purl.org/eprint/type/ConferencePaper


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