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Adrien Baranes
Researcher at French Institute for Research in Computer Science and Automation
Publications - 22
Citations - 1668
Adrien Baranes is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Developmental robotics & Robot learning. The author has an hindex of 14, co-authored 22 publications receiving 1412 citations. Previous affiliations of Adrien Baranes include Columbia University Medical Center & Columbia University.
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Journal ArticleDOI
Information-seeking, curiosity, and attention: computational and neural mechanisms
Jacqueline Gottlieb,Pierre-Yves Oudeyer,Pierre-Yves Oudeyer,Manuel Lopes,Manuel Lopes,Adrien Baranes +5 more
TL;DR: Eye movements reflect visual information searching in multiple conditions and are amenable for cellular-level investigations, which suggests that the oculomotor system is an excellent model system for understanding information-sampling mechanisms.
Journal ArticleDOI
Active learning of inverse models with intrinsically motivated goal exploration in robots
TL;DR: The Self-Adaptive Goal Generation Robust Intelligent Adaptive Curiosity (SAGG-RIAC) architecture is introduced as an intrinsically motivated goal exploration mechanism which allows active learning of inverse models in high-dimensional redundant robots.
Journal ArticleDOI
R-IAC: Robust Intrinsically Motivated Exploration and Active Learning
TL;DR: This paper introduces a novel formulation of IAC, called robust intelligent adaptive curiosity (R-IAC), and shows that its performances as an intrinsically motivated active learning algorithm are far superior to IAC in a complex sensorimotor space where only a small subspace is neither unlearnable nor trivial.
Proceedings ArticleDOI
Intrinsically motivated goal exploration for active motor learning in robots: A case study
TL;DR: The Self-Adaptive Goal Generation - Robust Intelligent Adaptive Curiosity (SAGG-RIAC) algorithm is introduced as an intrinsically motivated goal exploration mechanism which allows a redundant robot to efficiently and actively learn its inverse kinematics.
Journal ArticleDOI
Eye movements reveal epistemic curiosity in human observers.
TL;DR: It is shown that higher curiosity was associated with earlier anticipatory orienting of gaze toward the answer location without changes in other metrics of saccades or fixations, and that these influences were distinct from those produced by variations in confidence and surprise.