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dc.contributor.authorShi, Wei
dc.contributor.authorWang, Hanrui
dc.contributor.authorGu, Jiaqi
dc.contributor.authorLiu, Mingjie
dc.contributor.authorPan, David
dc.contributor.authorHan, Song
dc.contributor.authorSun, Nan
dc.date.accessioned2022-11-15T18:28:10Z
dc.date.available2022-11-15T18:28:10Z
dc.date.issued2022-09-12
dc.identifier.isbn978-1-4503-9486-4
dc.identifier.urihttps://hdl.handle.net/1721.1/146471
dc.publisherACM|Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CADen_US
dc.relation.isversionofhttps://doi.org/10.1145/3551901.3556487en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CADen_US
dc.titleRobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RLen_US
dc.typeArticleen_US
dc.identifier.citationShi, Wei, Wang, Hanrui, Gu, Jiaqi, Liu, Mingjie, Pan, David et al. 2022. "RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T12:28:56Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-11-03T12:28:56Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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