Properties for Efficient Demonstrations to a Socially Guided Intrinsically Motivated Learner

Sao Mai Nguyen 1 Pierre-Yves Oudeyer 1
1 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest, ENSTA ParisTech U2IS - Unité d'Informatique et d'Ingénierie des Systèmes
Abstract : The combination of learning by intrinsic moti- vation and social learning has been shown to improve the learner's performance and gain precision over a wider range of motor skills, with for instance the SGIM-D learning algorithm. Nevertheless, this bootstrapping a-priori depends on the demonstrations made by the teacher. We propose in this paper to examine this dependence: to what extend the quality of the demonstrations can influence the learning performance, and which are the characteristics of a good demonstrator. Results on a fishing experiment highlights the importance of the difficulty of the demonstrated tasks, as well as the structure of the actions demonstrated.
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Communication dans un congrès
21st IEEE International Symposium on Robot and Human Interactive Communication, Sep 2012, Paris, France. 2012
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Sao Mai Nguyen, Pierre-Yves Oudeyer. Properties for Efficient Demonstrations to a Socially Guided Intrinsically Motivated Learner. 21st IEEE International Symposium on Robot and Human Interactive Communication, Sep 2012, Paris, France. 2012. 〈hal-00762758〉

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