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hal-00645995, version 1

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

Sao Mai Nguyen (Author to contact preferably, http://nguyensmai.free.fr) 1, Adrien Baranes () 1, Pierre-Yves Oudeyer () 1

IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT) (2011)

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.

  • 1:  FLOWERS (INRIA Bordeaux - Sud-Ouest)
  • INRIA
  • Domain : Computer Science/Artificial Intelligence
    Cognitive science/Computer science
    Cognitive science/Psychology
    Computer Science/Computer Vision and Pattern Recognition
    Computer Science/Image Processing
    Computer Science/Robotics
    Computer Science/Learning
  • Keywords : Intrinsic Motivation – Social Learning – Imitation Learning – Learning by Demonstration – Large Spaces – Goal-Directed Exploration – Active Learning
 
  • hal-00645995, version 1
  • http://hal.archives-ouvertes.fr/hal-00645995
  • oai:hal.archives-ouvertes.fr:hal-00645995
  • From: Sao Mai Nguyen <>
  • Submitted on: Tuesday, 29 November 2011 00:16:35
  • Updated on: Thursday, 8 December 2011 12:41:17