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Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations.

Sao Mai Nguyen 1, * Adrien Baranes 1 Pierre-Yves Oudeyer 1
* Corresponding author
Abstract : This paper presents an algorithm for learning a highly redundant inverse model in continuous and non-preset environments. Our Socially Guided Intrinsic Motivation by Demonstrations (SGIM-D) algorithm combines the advantages of both social learning and intrinsic motivation, to specialise in a wide range of skills, while lessening its dependence on the teacher. SGIM-D is evaluated on a fishing skill learning experiment.
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https://hal.archives-ouvertes.fr/hal-00645995
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Submitted on : Tuesday, November 29, 2011 - 12:16:35 AM
Last modification on : Saturday, March 26, 2022 - 3:18:12 AM
Long-term archiving on: : Monday, December 5, 2016 - 8:54:16 AM

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  • HAL Id : hal-00645995, version 1
  • ARXIV : 1111.6790

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Sao Mai Nguyen, Adrien Baranes, Pierre-Yves Oudeyer. Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations.. IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), 2011, Barcelona, Spain. ⟨hal-00645995⟩

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