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

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Peters, J
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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http://drops.dagstuhl.de/opus/volltexte/2011/3194/pdf/dagrep_v001_i003_p067_s11131.pdf
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Wyatt, J., Dayan, P., Leonardis, A., & Peters, J. (2011). Exploration and Curiosity in Robot Learning and Inference. doi:10.4230/DagRep.1.3.67.

Cite as: http://hdl.handle.net/21.11116/0000-0004-7E74-D

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.