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Intrinsically motivated exploration as efficient active learning in unknown and unprepared spaces
Abstract : Intrinsic motivations are mechanisms that guide curiosity-driven exploration (Berlyne, 1965). They have been proposed to be crucial for self-organizing developmental trajectories (Oudeyer et al. , 2007) as well as for guiding the learning of general and reusable skills (Barto et al., 2005). Here, we argue that they can be considered as “active learning” algorithms, and show that some of them also allow for very efficient learning in unprepared sensorimotor spaces, outperforming existing active learning algorithms.
Cited literature [4 references]
https://hal.inria.fr/inria-00420125
Contributor : Jérôme Béchu <>
Submitted on : Monday, September 28, 2009 - 11:38:50 AM
Last modification on : Friday, June 5, 2020 - 11:58:35 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 10:17:54 PM
Contributor : Jérôme Béchu <>
Submitted on : Monday, September 28, 2009 - 11:38:50 AM
Last modification on : Friday, June 5, 2020 - 11:58:35 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 10:17:54 PM
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OudeyerBaranesEpirob08.pdf
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