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

Authors: Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, and Jan Peters

Published in: Dagstuhl Reports, Volume 1, Issue 3 (2011)

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.

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Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, and Jan Peters. Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). In Dagstuhl Reports, Volume 1, Issue 3, pp. 67-95, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@Article{wyatt_et_al:DagRep.1.3.67,
  author =	{Wyatt, Jeremy L. and Dayan, Peter and Leonardis, Ales and Peters, Jan},
  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 =	{Wyatt, Jeremy L. and Dayan, Peter and Leonardis, Ales and Peters, Jan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.1.3.67},
  URN =		{urn:nbn:de:0030-drops-31943},
  doi =		{10.4230/DagRep.1.3.67},
  annote =	{Keywords: Artificial Intelligence, Robotics, Learning, Exploration, Curiosity}
}

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

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