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Observation Decoding with Sensor Models: Recognition Tasks via Classical Planning

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Aineto, D.; Jiménez-Celorrio, S.; Onaindia De La Rivaherrera, E. (2020). Observation Decoding with Sensor Models: Recognition Tasks via Classical Planning. Association for the Advancement of Artificial Intelligence. 11-19. http://hdl.handle.net/10251/178902

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Title: Observation Decoding with Sensor Models: Recognition Tasks via Classical Planning
Author: Aineto, Diego Jiménez-Celorrio, Sergio Onaindia De La Rivaherrera, Eva
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Observation decoding aims at discovering the underlyingstate trajectory of an acting agent from a sequence of observa-tions. This task is at the core of various recognition activitiesthat exploit planning as resolution ...[+]
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-57735-824-4
Source:
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling (ICAPS 2020).
Publisher:
Association for the Advancement of Artificial Intelligence
Publisher version: https://ojs.aaai.org//index.php/ICAPS/issue/view/263
Conference name: 30th International Conference on Automated Planning and Scheduling (ICAPS 2020)
Conference place: Nancy, France
Conference date: Junio 14-19,2020
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-88476-C2-1-R/ES/RECONOCIMIENTO DE ACTIVIDADES Y PLANIFICACION AUTOMATICA PARA EL DISEÑO DE ASISTENTES INTELIGENTES/
info:eu-repo/grantAgreement/MECD//FPU16%2F03184/ES/FPU16%2F03184/
info:eu-repo/grantAgreement/MINECO//RYC-2015-18009/ES/RYC-2015-18009/
Thanks:
This work is supported by the Spanish MINECO project TIN2017-88476-C2-1-R. D. Aineto is partially supported by the FPU16/03184 and S. Jimenez by the RYC15/18009
Type: Comunicación en congreso Capítulo de libro

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