Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey
Building autonomous machines that can explore open-ended environments, discover
possible interactions and build repertoires of skills is a general objective of artificial …
possible interactions and build repertoires of skills is a general objective of artificial …
Intrinsic motivations and open-ended development in animals, humans, and robots: an overview
This editorial article introduces the Frontiers Research Topic and Electronic Book (eBook)
on Intrinsic Motivations (IMs), which involved the publication of 24 articles with the journals …
on Intrinsic Motivations (IMs), which involved the publication of 24 articles with the journals …
GRAIL: A goal-discovering robotic architecture for intrinsically-motivated learning
VG Santucci, G Baldassarre… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we present goal-discovering robotic architecture for intrisically-motivated
learning (GRAIL), a four-level architecture that is able to autonomously: 1) discover changes …
learning (GRAIL), a four-level architecture that is able to autonomously: 1) discover changes …
Curiosity‐based learning in infants: A neurocomputational approach
KE Twomey, G Westermann - Developmental science, 2018 - Wiley Online Library
Infants are curious learners who drive their own cognitive development by imposing
structure on their learning environment as they explore. Understanding the mechanisms by …
structure on their learning environment as they explore. Understanding the mechanisms by …
Theoretical models of neural development
GJ Goodhill - IScience, 2018 - cell.com
Constructing a functioning nervous system requires the precise orchestration of a vast array
of mechanical, molecular and neural-activity-dependent cues. Theoretical models can play a …
of mechanical, molecular and neural-activity-dependent cues. Theoretical models can play a …
[图书][B] How the mind comes into being: Introducing cognitive science from a functional and computational perspective
MV Butz, EF Kutter - 2016 - books.google.com
More than 2000 years ago Greek philosophers were pondering the puzzling dichotomy
between our physical bodies and our seemingly non-physical minds. Yet even today, it …
between our physical bodies and our seemingly non-physical minds. Yet even today, it …
A calibration and 3-D measurement method for an active vision system with symmetric yawing cameras
D Xu, D Zhang, X Liu, L Ma - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this study, we propose a 3-D measurement method for an active stereo vision system with
two symmetric yawing cameras. First, we establish a measurement model with five constant …
two symmetric yawing cameras. First, we establish a measurement model with five constant …
Self-calibrating smooth pursuit through active efficient coding
This paper presents a model for the autonomous learning of smooth pursuit eye movements
based on an efficient coding criterion for active perception. This model accounts for the joint …
based on an efficient coding criterion for active perception. This model accounts for the joint …
The importance of the interaction between ocular motor function and vision during human infancy
TR Candy - Annual review of vision science, 2019 - annualreviews.org
Numerous studies have demonstrated the impact of imposed abnormal visual experience on
the postnatal development of the visual system. These studies have provided fundamental …
the postnatal development of the visual system. These studies have provided fundamental …
Exploitation of image statistics with sparse coding in the case of stereo vision
The sparse coding algorithm has served as a model for early processing in mammalian
vision. It has been assumed that the brain uses sparse coding to exploit statistical properties …
vision. It has been assumed that the brain uses sparse coding to exploit statistical properties …