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Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces

Overview of attention for article published in Frontiers in Neurorobotics, January 2013
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Citations

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9 Dimensions

Readers on

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44 Mendeley
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2 CiteULike
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Title
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces
Published in
Frontiers in Neurorobotics, January 2013
DOI 10.3389/fnbot.2013.00003
Pubmed ID
Authors

Stefan Elfwing, Eiji Uchibe, Kenji Doya

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 7%
Japan 3 7%
Australia 1 2%
Canada 1 2%
United Kingdom 1 2%
Unknown 35 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 9 20%
Student > Master 6 14%
Student > Bachelor 4 9%
Professor 3 7%
Other 7 16%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 13 30%
Engineering 7 16%
Agricultural and Biological Sciences 4 9%
Psychology 3 7%
Neuroscience 2 5%
Other 8 18%
Unknown 7 16%