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Whom Will an Intrinsically Motivated Robot Learner Choose to Imitate from?

Abstract : This paper studies an interactive learning system that couples internally guided learning and social interaction in the case it can interact with several teachers. Socially Guided Intrinsic Motivation with Interactive learning at the Meta level (SGIM- IM) is an algorithm for robot learning of motor skills in high- dimensional, continuous and non-preset environments, with two levels of active learning: SGIM-IM actively decides at a meta- level when and to whom to ask for help; and an active choice of goals in autonomous exploration. We illustrate through an air hockey game that SGIM-IM efficiently chooses the best strategy.
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Contributor : Sao Mai Nguyen Connect in order to contact the contributor
Submitted on : Friday, December 7, 2012 - 5:47:12 PM
Last modification on : Friday, April 1, 2022 - 5:12:56 PM
Long-term archiving on: : Saturday, December 17, 2016 - 11:00:29 PM


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  • HAL Id : hal-00762762, version 1



Sao Mai Nguyen, Pierre-Yves Oudeyer. Whom Will an Intrinsically Motivated Robot Learner Choose to Imitate from?. Post-Graduate Conference on Robotics and Development of Cognition: RobotDoC-PhD 2012, Sep 2012, Lausanne, Switzerland. ⟨hal-00762762⟩



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