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Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning

Published online by Cambridge University Press:  10 November 2017

Pierre-Yves Oudeyer
Pierre-Yves Oudeyer*
Affiliation:
Inria and Ensta Paris-Tech, 33405 Talence, France. pierre-yves.oudeyer@inria.fr http://www.pyoudeyer.com
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Abstract

Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e275
Copyright
Copyright © Cambridge University Press 2017 

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