ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture
Author:
Affiliation:
1. University of A Coruña,GII, CITIC research center,A Coruña,Spain
2. University of Innsbruck,Dept. of Computer Science and Digital Science Center,Innsbruck,Austria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892180.pdf?arnumber=9892180
Reference34 articles.
1. Developmental Learning of Value Functions in a Motivational System for Cognitive Robotics
2. Perceptual Generalization and Context in a Network Memory Inspired Long-Term Memory for Artificial Cognition
3. Introducing separable utility regions in a motivational engine for cognitive developmental robotics
4. First Steps Towards State Representation Learning for Cognitive Robotics
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1. Using perceptual classes to dream policies in open-ended learning robotics;Integrated Computer-Aided Engineering;2023-05-10
2. An Approach to 3D Object Detection in Real-Time for Cognitive Robotics Experiments;ROBOT2022: Fifth Iberian Robotics Conference;2022-11-19
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