A human mixed strategy approach to deep reinforcement learning

Nguyen, Ngoc Duy, Nahavandi, Saeid and Nguyen, Thanh Thi 2018, A human mixed strategy approach to deep reinforcement learning, in SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 4023-4028, doi: 10.1109/SMC.2018.00682.

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Title A human mixed strategy approach to deep reinforcement learning
Author(s) Nguyen, Ngoc Duy
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Nguyen, Thanh ThiORCID iD for Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663
Conference name IEEE Systems, Man, and Cybernetics Society. Conference (2018 : Miyazaki, Japan)
Conference location Miyazaki, Japan
Conference dates 2018/10/07 - 2018/10/10
Title of proceedings SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2018
Series IEEE Systems, Man, and Cybernetics Society Conference
Start page 4023
End page 4028
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Games
Training
Task analysis
Simulation
History
Reinforcement learning
MIMICS
Science & Technology
Technology
Computer Science, Cybernetics
Computer Science, Information Systems
Computer Science
ISBN 9781538666500
Language eng
DOI 10.1109/SMC.2018.00682
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122023

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
GTP Research
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