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          <dc:title>Reinforcement Learning (Dagstuhl Seminar 13321)</dc:title>
          <dc:creator>Auer, Peter</dc:creator>
          <dc:creator>Hutter, Marcus</dc:creator>
          <dc:creator>Orseau, Laurent</dc:creator>
          <dc:subject>Machine Learning</dc:subject>
          <dc:subject>Reinforcement Learning</dc:subject>
          <dc:subject>Markov Decision Processes</dc:subject>
          <dc:subject>Planning</dc:subject>
          <dc:description>This Dagstuhl Seminar also stood as the 11th European Workshop on Reinforcement Learning (EWRL11). Reinforcement learning gains more and more attention each year, as can be seen at the various conferences (ECML, ICML, IJCAI, ...). EWRL, and in particular this Dagstuhl Seminar, aimed at gathering people interested in reinforcement learning from all around the globe. This unusual format for EWRL helped viewing the field and discussing topics differently.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Peter Auer and Marcus Hutter and Laurent Orseau</dc:contributor>
          <dc:date>2013</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 3, Issue 8 (2013)</dc:relation>
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