Turing learning with hybrid discriminators: combining the best of active and passive learning

Gu, Y., Wei, L. and Groß, R. orcid.org/0000-0003-1826-1375 (2020) Turing learning with hybrid discriminators: combining the best of active and passive learning. In: GECCO 2020: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2020 : Genetic and Evolutionary Computation Conference, 08-12 Jul 2020, Cancún, Mexico. ACM Digital Library , New York, NY, USA , pp. 121-122. ISBN 9781450371278

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Copyright, Publisher and Additional Information: © 2020 The Authors. This is an author-produced version of a paper subsequently published in GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Turing Learning; generative adversarial networks; robotics; active learning; sensor calibration
Dates:
  • Accepted: 20 March 2020
  • Published (online): 8 July 2020
  • Published: 8 July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 27 Apr 2020 08:15
Last Modified: 02 Sep 2020 15:44
Status: Published
Publisher: ACM Digital Library
Refereed: Yes
Identification Number: https://doi.org/10.1145/3377929.3390051
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