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Adversarial generation of real-time feedback with neural networks for simulation-based training

Ma, Xingjun, Wijewickrema, Sudanthi, Zhou, Shuo, Zhou, Yun, Mhammedi, Zakaria, O'Leary, Stephen and Bailey, James 2017, Adversarial generation of real-time feedback with neural networks for simulation-based training, in IJCAI 2017 : Proceedings of the 26th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, [Melbourne, Vic.], pp. 3763-3769, doi: 10.24963/ijcai.2017/526.

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Title Adversarial generation of real-time feedback with neural networks for simulation-based training
Author(s) Ma, XingjunORCID iD for Ma, Xingjun orcid.org/0000-0003-2099-4973
Wijewickrema, Sudanthi
Zhou, Shuo
Zhou, Yun
Mhammedi, Zakaria
O'Leary, Stephen
Bailey, James
Conference name Artificial Intelligence. International Joint Conference (26th : 2017 : Melbourne, Victoria)
Conference location Melbourne, Vic.
Conference dates 2017/08/19 - 2017/08/25
Title of proceedings IJCAI 2017 : Proceedings of the 26th International Joint Conference on Artificial Intelligence
Editor(s) Unknown
Publication date 2017
Series Artificial Intelligence International Joint Conference
Start page 3763
End page 3769
Total pages 7
Publisher International Joint Conferences on Artificial Intelligence Organization
Place of publication [Melbourne, Vic.]
ISBN 9780999241103
Language eng
DOI 10.24963/ijcai.2017/526
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139151

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.