Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner
We present an active learning architecture that allows a robot to actively learn which data collection strategy is most efficient for acquiring motor skills to achieve multiple outcomes, and generalise over its experience to achieve new outcomes. The robot explores its environment both via interacti...
Main Authors: | , |
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Format: | Article |
Language: | English |
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De Gruyter
2012-09-01
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Series: | Paladyn |
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Online Access: | https://doi.org/10.2478/s13230-013-0110-z |
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author | Nguyen Sao Mai Oudeyer Pierre-Yves |
author_facet | Nguyen Sao Mai Oudeyer Pierre-Yves |
author_sort | Nguyen Sao Mai |
collection | DOAJ |
description | We present an active learning architecture that allows a robot to actively learn which data collection strategy is most efficient for acquiring motor skills to achieve multiple outcomes, and generalise over its experience to achieve new outcomes. The robot explores its environment both via interactive learning and goal-babbling. It learns at the same time when, who and what to actively imitate from several available teachers, and learns when not to use social guidance but use active goal-oriented self-exploration. This is formalised in the framework of life-long strategic learning. |
first_indexed | 2024-03-09T07:45:35Z |
format | Article |
id | doaj.art-90314c72b169460683b7df1719673d26 |
institution | Directory Open Access Journal |
issn | 2081-4836 |
language | English |
last_indexed | 2024-03-09T07:45:35Z |
publishDate | 2012-09-01 |
publisher | De Gruyter |
record_format | Article |
series | Paladyn |
spelling | doaj.art-90314c72b169460683b7df1719673d262023-12-03T03:18:30ZengDe GruyterPaladyn2081-48362012-09-013313614610.2478/s13230-013-0110-zActive Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation LearnerNguyen Sao Mai0Oudeyer Pierre-Yves1 Flowers Team, INRIA and ENSTA ParisTech, France, 200 avenue de la Vieille Tour, 33 405 Talence Cedex, France Flowers Team, INRIA and ENSTA ParisTech, France, 200 avenue de la Vieille Tour, 33 405 Talence Cedex, FranceWe present an active learning architecture that allows a robot to actively learn which data collection strategy is most efficient for acquiring motor skills to achieve multiple outcomes, and generalise over its experience to achieve new outcomes. The robot explores its environment both via interactive learning and goal-babbling. It learns at the same time when, who and what to actively imitate from several available teachers, and learns when not to use social guidance but use active goal-oriented self-exploration. This is formalised in the framework of life-long strategic learning.https://doi.org/10.2478/s13230-013-0110-zstrategic learnerimitation learningmimicryemulationartificial curiosityintrinsic motivationinteractive learneractive learninggoal babblingrobot skill learning |
spellingShingle | Nguyen Sao Mai Oudeyer Pierre-Yves Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner Paladyn strategic learner imitation learning mimicry emulation artificial curiosity intrinsic motivation interactive learner active learning goal babbling robot skill learning |
title | Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner |
title_full | Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner |
title_fullStr | Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner |
title_full_unstemmed | Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner |
title_short | Active Choice of Teachers, Learning Strategies and Goals for a Socially Guided Intrinsic Motivation Learner |
title_sort | active choice of teachers learning strategies and goals for a socially guided intrinsic motivation learner |
topic | strategic learner imitation learning mimicry emulation artificial curiosity intrinsic motivation interactive learner active learning goal babbling robot skill learning |
url | https://doi.org/10.2478/s13230-013-0110-z |
work_keys_str_mv | AT nguyensaomai activechoiceofteacherslearningstrategiesandgoalsforasociallyguidedintrinsicmotivationlearner AT oudeyerpierreyves activechoiceofteacherslearningstrategiesandgoalsforasociallyguidedintrinsicmotivationlearner |