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Persistent rule-based interactive reinforcement learning

Bignold, A, Cruz, Francisco, Dazeley, Richard, Vamplew, P and Foale, C 2022, Persistent rule-based interactive reinforcement learning, Neural Computing and Applications, pp. 1-18, doi: 10.1007/s00521-021-06466-w.

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Title Persistent rule-based interactive reinforcement learning
Author(s) Bignold, A
Cruz, FranciscoORCID iD for Cruz, Francisco orcid.org/0000-0002-1131-3382
Dazeley, RichardORCID iD for Dazeley, Richard orcid.org/0000-0002-6199-9685
Vamplew, P
Foale, C
Journal name Neural Computing and Applications
Start page 1
End page 18
Total pages 18
Publisher Springer
Place of publication Berlin, Germany
Publication date 2022
ISSN 0941-0643
1433-3058
Keyword(s) Computer Science
Computer Science, Artificial Intelligence
Interactive reinforcement learning
Persistent advice
Reinforcement learning
RIPPLE
Rule-based advice
Science & Technology
Technology
Language eng
DOI 10.1007/s00521-021-06466-w
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1702 Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30155350

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Citation counts: TR Web of Science Citation Count  Cited 3 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus Google Scholar Search Google Scholar
Access Statistics: 26 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 13 Sep 2021, 08:23:53 EST

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