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

Year: 2017

Type: article

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.

Source: Behavioral and Brain Sciences

DOI: 10.1017/s0140525x17000243

Author: Pierre-Yves Oudeyer

Institutions: Institut national de recherche en sciences et technologies du numérique, École Nationale Supérieure de Techniques Avancées Paris

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2768998735

FWCI: 0.649

Cites: 34

Cited by: 16

Related to: 10