An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation

Kurniawan, Budi, Vamplew, Peter, Papasimeon, Michael, Dazeley, Richard and Foale, Cameron 2019, An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation, in AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australian Joint Conference on Artificial Intelligence 2019, Springer, Cham, Switzerland, pp. 54-65, doi: 10.1007/978-3-030-35288-2_5.

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Title An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation
Author(s) Kurniawan, Budi
Vamplew, Peter
Papasimeon, Michael
Dazeley, RichardORCID iD for Dazeley, Richard orcid.org/0000-0002-6199-9685
Foale, Cameron
Conference name Artificial Intelligence. Conference (32nd : 2019 : Adelaide, S. Aust.)
Conference location Adelaide, S. Aust.
Conference dates 2019/12/02 - 2019/12/05
Title of proceedings AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australian Joint Conference on Artificial Intelligence 2019
Editor(s) Liu, Jixue
Bailey, James
Publication date 2019
Series Artificial Intelligence Conference
Start page 54
End page 65
Total pages 12
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Reinforcement learning
Actor-critic
Air combat
ISBN 9783030352875
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-35288-2_5
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133339

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