Exploration and Curiosity in Robot Learning and Inference

Wyatt, JL; Dayan, P; Leonardis, A; Peters, J

doi:10.4230/DagRep.1.3.67

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Exploration and Curiosity in Robot Learning and Inference

Wyatt, J., Dayan, P., Leonardis, A., & Peters, J. (2011). Exploration and Curiosity in Robot Learning and Inference. doi:10.4230/DagRep.1.3.67.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-7E74-D Version Permalink: https://hdl.handle.net/21.11116/0000-0004-7E75-C

Genre: Proceedings

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http://drops.dagstuhl.de/opus/volltexte/2011/3194/pdf/dagrep_v001_i003_p067_s11131.pdf (Abstract) Open Access status unknown

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Wyatt, JL, Author
Dayan, P¹, Author
Leonardis, A, Author
Peters, J^{2, 3}, Author

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1External Organizations, ou_persistent22
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
3Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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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.

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Dates: Published Online: 2011-04

Publication Status: Published online

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Identifiers: DOI: 10.4230/DagRep.1.3.67

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Title: Dagstuhl Seminar 11131

Place of Event: Dagstuhl, Germany

Start-/End Date: 2011-03-27 - 2011-04-01

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Title: Dagstuhl Reports

Source Genre: Journal

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Publ. Info: Wadern : Schloss Dagstuhl, Leibniz-Zentrum für Informatik

Pages: - Volume / Issue: 1 (3) Sequence Number: - Start / End Page: 67 - 95 Identifier: ISSN: 2192-5283
CoNE: https://pure.mpg.de/cone/journals/resource/21925283