Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Eduardo F. Morales"'
Publikováno v:
IEEE Access, Vol 11, Pp 126462-126481 (2023)
Causal Reinforcement Learning (CRL) is an emerging field where two essential areas for the development of artificial intelligence are integrated. Existing works in the area have shown how causality can contribute to mitigate some of the limitations o
Externí odkaz:
https://doaj.org/article/71b20d853e75481fae375b2590808b5a
Publikováno v:
Energies, Vol 13, Iss 9, p 2302 (2020)
Due to its ability to deal with non-determinism and partial observability, represent goals as an immediate reward function and find optimal solutions, planning under uncertainty using factored Markov Decision Processes (FMDPs) has increased its impor
Externí odkaz:
https://doaj.org/article/0fe92d4c8bba4d32a14bde008783a001
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 3, Iss 3 (2008)
To learn a map of an environment a mobile robot has to explore its workspace using its sensors. Sensors are noisy and have perceptual limitations that must be considered while learning a map. This paper considers a mobile robot with sensor perceptual
Externí odkaz:
https://doaj.org/article/6bff567ff54b45099f0484e2782a253a
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 3 (2006)
To learn a map of an environment a mobile robot has to explore its workspace using its sensors. Sensors are noisy and have perceptual limitations that must be considered while learning a map. This paper considers a mobile robot with sensor perceptual
Externí odkaz:
https://doaj.org/article/e7b1b46793254cbca62ebe7cb1f0f9e2
Autor:
Leonardo Delgado, Eduardo F. Morales
Publikováno v:
Pattern Analysis and Applications.
Publikováno v:
Computación y Sistemas. 27
Autor:
Sandra Eugenia Barajas-Montiel, Eduardo F. Morales, Hugo Jair Escalante, Carlos Alberto Reyes-García
Publikováno v:
Computación y Sistemas. 27
Publikováno v:
Intelligent Service Robotics. 14:773-805
This article is about deep learning (DL) and deep reinforcement learning (DRL) works applied to robotics. Both tools have been shown to be successful in delivering data-driven solutions for robotics tasks, as well as providing a natural way to develo
Autor:
Lidia Nuñez-Carrera, Alberto-I. Perez-Sanpablo, Ivett Quiñones Uriostegui, German Cuaya-Simbro, Eduardo-F. Morales
Publikováno v:
Journal of Healthcare Engineering, Vol 2021 (2021)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
Falls are a multifactorial cause of injuries for older people. Subjects with osteoporosis are particularly vulnerable to falls. We study the performance of different computational methods to identify people with osteoporosis who experience a fall by
Autor:
Heikel Yervilla-Herrera, Israel Becerra, Rafael Murrieta-Cid, Luis Enrique Sucar, Eduardo F. Morales
Publikováno v:
Journal of Intelligent & Robotic Systems. 105