Steering approaches to Pareto-optimal multiobjective reinforcement learning

Vamplew, Peter, Issabekov, Rustam, Dazeley, Richard, Foale, Cameron, Berry, Adam, Moore, Tim and Creighton, Douglas 2017, Steering approaches to Pareto-optimal multiobjective reinforcement learning, Neurocomputing, vol. 263, Part of special issue: Multiobjective Reinforcement Learning: Theory and Applications, pp. 26-38, doi: 10.1016/j.neucom.2016.08.152.

Attached Files
Name Description MIMEType Size Downloads

Title Steering approaches to Pareto-optimal multiobjective reinforcement learning
Author(s) Vamplew, Peter
Issabekov, Rustam
Dazeley, Richard
Foale, Cameron
Berry, Adam
Moore, Tim
Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Journal name Neurocomputing
Volume number 263
Season Part of special issue: Multiobjective Reinforcement Learning: Theory and Applications
Start page 26
End page 38
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-11
ISSN 0925-2312
1872-8286
Keyword(s) Multiobjective reinforcement learning
Non-stationary policies
Geometric steering
Interactive reinforcement learning
Pareto optimality
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
SEQUENTIAL DECISION-MAKING
POLICIES
Language eng
DOI 10.1016/j.neucom.2016.08.152
Field of Research 08 Information And Computing Sciences
09 Engineering
17 Psychology And Cognitive Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2017, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30100055

Document type: Journal Article
Collection: School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 22 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 26 Jul 2017, 14:14:08 EST

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.