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URN: urn:nbn:de:0030-drops-28014
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2801/
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Toussaint, Marc

Why deterministic logic is hard to learn but Statistical Relational Learning works

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Abstract

A brief note on why we think that the statistical relational learning framework is a great advancement over deterministic logic -- in particular in the context of model-based Reinforcement Learning.

BibTeX - Entry

@InProceedings{toussaint:DSP:2010:2801,
  author =	{Marc Toussaint},
  title =	{Why deterministic logic is hard to learn but Statistical Relational Learning works},
  booktitle =	{Learning paradigms in dynamic environments},
  year =	{2010},
  editor =	{Barbara Hammer and Pascal Hitzler and Wolfgang Maass and Marc Toussaint},
  number =	{10302},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2801},
  annote =	{Keywords: Statistical relational learning, relational model-based Reinforcement Learning}
}

Keywords: Statistical relational learning, relational model-based Reinforcement Learning
Seminar: 10302 - Learning paradigms in dynamic environments
Issue Date: 2010
Date of publication: 05.11.2010


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