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Daniel Borrajo
Researcher at Charles III University of Madrid
Publications - 176
Citations - 2833
Daniel Borrajo is an academic researcher from Charles III University of Madrid. The author has contributed to research in topics: Heuristics & Domain (software engineering). The author has an hindex of 26, co-authored 168 publications receiving 2619 citations. Previous affiliations of Daniel Borrajo include J.P. Morgan & Co. & University of Alcalá.
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Integrating planning and learning: the PRODIGY architecture
TL;DR: This article describes the PRODIGY planner, briefly reports on several learning modules developed earlier along the project, and presents in more detail two recently explored methods to learn to generate plans of better quality.
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samap: An user-oriented adaptive system for planning tourist visits
Luis Castillo,Eva Armengol,Eva Onaindia,Laura Sebastia,Jesús González-Boticario,Antonio Rodríguez,Susana Fernández,Juan D. Arias,Daniel Borrajo +8 more
TL;DR: This tool integrates modules that dynamically capture user models, determine lists of activities that can provide more utility to a user given the past experience of the system with similar users, and generates plans that can be executed by the user.
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Review: a review of machine learning for automated planning
TL;DR: This paper reviews recent techniques in machine learning for the automatic definition of planning knowledge and reviews the advances in the related field of reinforcement learning, organized according to the target of the learning process.
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Planning for tourism routes using social networks
TL;DR: The PlanTour is a system that creates personalized tourist plans using the human-generated information gathered from the minube 1 traveling social network, which follows an automated planning approach to generate a multiple-day plan with the most relevant points of interest of the city/region being visited.
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An Integrated Approach of Learning, Planning, and Execution
TL;DR: An integrated architecture, lope, is presented that learns operator definitions, plans using those operators, and executes the plans for modifying the acquired operators and clearly shows that the integrated planning, learning, and executing system outperforms the basic planner in that domain.