Studying How Innate Motivations Can Drive Skill Acquisition in Cognitive Robots
In this paper, we address the problem of how to bootstrap a cognitive architecture to opportunistically start learning skills in domains where multiple skills can be learned at the same time. To this end, taking inspiration from a series of computational models of the use of motivations in infants,...
Main Authors: | Alejandro Romero, Francisco Bellas, Jose A. Becerra, Richard J. Duro |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3900/21/1/2 |
Similar Items
-
Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots
by: Vieri Giuliano Santucci, et al.
Published: (2020-01-01) -
Autonomous Robot Skill Acquisition
by: Konidaris, George D
Published: (2011) -
A Reinforcement Learning-Based Framework for Robot Manipulation Skill Acquisition
by: Dong Liu, et al.
Published: (2020-01-01) -
Confidence-Based Progress-Driven Self-Generated Goals for Skill Acquisition in Developmental Robots
by: Hung eNgo, et al.
Published: (2013-11-01) -
Mobile Robot’s Sensorimotor Developmental Learning From Orientation and Curiosity
by: Xiaoping Zhang, et al.
Published: (2020-01-01)