License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.3.8.1
URN: urn:nbn:de:0030-drops-43409
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4340/
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Auer, Peter ; Hutter, Marcus ; Orseau, Laurent
Weitere Beteiligte (Hrsg. etc.): Peter Auer and Marcus Hutter and Laurent Orseau

Reinforcement Learning (Dagstuhl Seminar 13321)

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dagrep_v003_i008_p001_s13321.pdf (1 MB)

Abstract

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.

BibTeX - Entry

@Article{auer_et_al:DR:2013:4340,
  author =	{Peter Auer and Marcus Hutter and Laurent Orseau},
  title =	{{Reinforcement Learning (Dagstuhl Seminar 13321)}},
  pages =	{1--26},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{8},
  editor =	{Peter Auer and Marcus Hutter and Laurent Orseau},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4340},
  URN =		{urn:nbn:de:0030-drops-43409},
  doi =		{10.4230/DagRep.3.8.1},
  annote =	{Keywords: Machine Learning, Reinforcement Learning, Markov Decision Processes, Planning}
}

Keywords: Machine Learning, Reinforcement Learning, Markov Decision Processes, Planning
Collection: Dagstuhl Reports, Volume 3, Issue 8
Issue Date: 2013
Date of publication: 21.11.2013

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