Many-objective reinforcement learning for online testing of DNN-enabled systems

Ul Haq, F., Shin, D. orcid.org/0000-0002-0840-6449 and Briand, L.C. (2023) Many-objective reinforcement learning for online testing of DNN-enabled systems. In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 14-20 May 2023, Melbourne, Australia. Institute of Electrical and Electronics Engineers (IEEE) , pp. 1814-1826. ISBN 9781665457026

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Copyright, Publisher and Additional Information: © 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Keywords: DNN Testing; Reinforcement learning; Many objective search; Self-driving cars; Online testing
Dates:
  • Published (online): 14 July 2023
  • Published: 14 July 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Sep 2023 14:32
Last Modified: 13 Sep 2023 14:01
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/icse48619.2023.00155
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