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