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DOI: 10.4230/DagRep.1.3.67
URN: urn:nbn:de:0030-drops-31943
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2011/3194/
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Wyatt, Jeremy L. ; Dayan, Peter ; Leonardis, Ales ; Peters, Jan
Weitere Beteiligte (Hrsg. etc.): Jeremy L. Wyatt and Peter Dayan and Ales Leonardis and Jan Peters

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131)

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Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 11131 ``Exploration and Curiosity in Robot Learning and Inference''. This seminar was concerned with answering the question: how should a robot choose its actions and experiences so as to maximise the effectiveness of its learning?}. The seminar brought together workers from three fields: machine learning, robotics and computational neuroscience. The seminar gave an overview of active research, and identified open research problems. In particular the seminar identified the difficulties in moving from theoretically well grounded notions of curiosity to practical robot implementations.

BibTeX - Entry

@Article{wyatt_et_al:DR:2011:3194,
  author =	{Jeremy L. Wyatt and Peter Dayan and Ales Leonardis and Jan Peters},
  title =	{{Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131)}},
  pages =	{67--95},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2011},
  volume =	{1},
  number =	{3},
  editor =	{Jeremy L. Wyatt and Peter Dayan and Ales Leonardis and Jan Peters},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/3194},
  URN =		{urn:nbn:de:0030-drops-31943},
  doi =		{10.4230/DagRep.1.3.67},
  annote =	{Keywords: Artificial Intelligence, Robotics, Learning, Exploration, Curiosity}
}

Keywords: Artificial Intelligence, Robotics, Learning, Exploration, Curiosity
Collection: Dagstuhl Reports, Volume 1, Issue 3
Issue Date: 2011
Date of publication: 28.07.2011

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