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Computing Hierarchical Finite State Controllers with Classical Planning

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Computing Hierarchical Finite State Controllers with Classical Planning

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Segovia-Aguas, J.; Jiménez-Celorrio, S.; Jonsson, A. (2018). Computing Hierarchical Finite State Controllers with Classical Planning. Journal of Artificial Intelligence Research. 62:755-797. https://doi.org/10.1613/jair.1.11227

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/145405

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Title: Computing Hierarchical Finite State Controllers with Classical Planning
Author: Segovia-Aguas, Javier Jiménez-Celorrio, Sergio Jonsson, Anders
Issued date:
Abstract:
[EN] Finite State Controllers (FSCs) are an effective way to compactly represent sequential plans. By imposing appropriate conditions on transitions, FSCs can also represent generalized plans (plans that solve a range of ...[+]
Copyrigths: Reserva de todos los derechos
Source:
Journal of Artificial Intelligence Research. (issn: 1076-9757 )
DOI: 10.1613/jair.1.11227
Publisher:
AI Access Foundation
Publisher version: https://doi.org/10.1613/jair.1.11227
Project ID:
info:eu-repo/grantAgreement/MINECO//MDM-2015-0502/ES/DPTO. DE TECNOLOGÍAS DE LA INFORMACIÓN Y LAS COMUNICACIONES/
info:eu-repo/grantAgreement/MINECO//TIN2015-67959-P/ES/SOLUCIONADORES PARA LA INTELIGENCIA ARTIFICIAL GENERAL CON APLICACIONES/
info:eu-repo/grantAgreement/MINECO//RYC-2015-18009/ES/RYC-2015-18009/
Thanks:
This work is partially supported by grant TIN2015-67959 and the Maria de Maeztu Units of Excellence Programme MDM-2015-0502, MEC, Spain. Sergio Jimenez is supported by the RYC15/18009, program funded by the Spanish government.[+]
Type: Artículo

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