Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks

Vamplew, P, Dazeley, Richard, Barker, E and Kelarev, A 2009, Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks, in AI 2009 : Advances in Artificial Intelligence : Proceedings of the 22nd Australasian Joint Conference, Springer, Berlin, Germany, pp. 340-349, doi: 10.1007/978-3-642-10439-8_35.

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Title Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks
Author(s) Vamplew, P
Dazeley, RichardORCID iD for Dazeley, Richard orcid.org/0000-0002-6199-9685
Barker, E
Kelarev, A
Conference name Australasian Artificial Intelligence. Joint Conference (22nd : 2009 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 2009/12/01 - 2009/12/04
Title of proceedings AI 2009 : Advances in Artificial Intelligence : Proceedings of the 22nd Australasian Joint Conference
Editor(s) Nicholson, A
Li, X
Publication date 2009
Series Lecture Notes in Artificial Intelligence v.5866
Start page 340
End page 349
Total pages 10
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Computer Science
multiobjective
reinforcement learning
scalarisation
Pareto fronts
ISBN 364210438X
9783642104381
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-642-10439-8_35
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30125402

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