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Machine Learning
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Machine Learning
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Relational reinforcement learning

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object , Report 01 Jan 1998 Belgium, Germany Publisher:Springer Berlin HeidelbergJournal:Machine Learning, volume 43, pages 7-52 (issn: 0885-6125, eissn: 1573-0565, Copyright policy )
Authors: Saso Dzeroski; Luc De Raedt; Kurt Driessens;

doi: 10.1007/bfb0027307 , 10.1023/a:1007694015589

Relational reinforcement learning

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Countries
Belgium, Germany
Related Organizations
Keywords

reinforcement learning, Technology, Science & Technology, relational reiforcement learning, INDUCTION, 1702 Cognitive Sciences, inductive logic programming, Computational learning theory, Computer Science, Artificial Intelligence, 4611 Machine learning, 0806 Information Systems, Computer Science, 0801 Artificial Intelligence and Image Processing, Artificial Intelligence & Image Processing, planning, induction

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 162
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
162
Top 1%
Top 1%
Top 10%
Green
bronze