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The Strategic Student Approach for Life-Long Exploration and Learning

Abstract : This article introduces the strategic student metaphor: a student has to learn a number of topics (or tasks) to maximize its mean score, and has to choose strategically how to allocate its time among the topics and/or which learning method to use for a given topic. We show that under which conditions a strategy where time allocation or learning method is chosen from the easier to the more complex topic is optimal. Then, we show an algorithm, based on multi-armed bandit techniques, that allows empirical online evaluation of learning progress and approximates the optimal solution under more general conditions. Finally, we show that the strategic student problem formulation allows to view in a common framework many previous approaches to active and developmental learning.
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Contributor : Manuel Lopes Connect in order to contact the contributor
Submitted on : Tuesday, November 20, 2012 - 4:48:32 PM
Last modification on : Friday, April 1, 2022 - 5:12:37 PM
Long-term archiving on: : Saturday, December 17, 2016 - 1:15:01 PM


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  • HAL Id : hal-00755216, version 1



Manuel Lopes, Pierre-Yves Oudeyer. The Strategic Student Approach for Life-Long Exploration and Learning. IEEE Conference on Development and Learning / EpiRob 2012, Nov 2012, San Diego, United States. ⟨hal-00755216⟩



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