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Curiosity and Intrinsic Motivation for Autonomous Machine Learning

Pierre-yves Oudeyer 1 Manuel Lopes 1 Celeste Kidd 2 Jacqueline Gottlieb 3 
1 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest
2 University of Rochester [USA]
3 Columbia University [New York]
Abstract : Autonomous lifelong multitask learning is a grand challenge of artificial intelligence and robotics. Recent interdisciplinary research has been investigating a key ingredient to reach this goal: curiosity-driven exploration and intrinsic motivation.
Keywords : intrinsic motivation machine learning reinforcement learning curiosity autonomous learning artificial intelligence
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Journal articles
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https://hal.inria.fr/hal-01404304
Contributor : Pierre-Yves Oudeyer Connect in order to contact the contributor
Submitted on : Monday, November 28, 2016 - 3:32:47 PM
Last modification on : Saturday, June 25, 2022 - 9:10:28 PM
Long-term archiving on: : Monday, March 27, 2017 - 8:02:53 AM

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  • HAL Id : hal-01404304, version 1

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Pierre-yves Oudeyer, Manuel Lopes, Celeste Kidd, Jacqueline Gottlieb. Curiosity and Intrinsic Motivation for Autonomous Machine Learning. ERCIM News, ERCIM, 2016, 107, pp.2. ⟨hal-01404304⟩

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