Listar por autor "Pérez-de-la-Cruz-Molina, José Luis"
Mostrando ítems 1-19 de 19
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Algoritmos heurísticos para procesos de decisión de Markov
(2022-09)En la actualidad se conocen un gran cúmulo de aplicaciones y prestaciones para la inteligencia artificial, es innegable la influencia residente en este campo en lo relativo al futuro de la informática. Pero hay que ... -
BH-ShaDe: a software tool that assists architecture students in the ill-structured task of housing design
Millán-Valldeperas, Eva
; Belmonte-Martínez, María Victoria; Ruiz-Montiel, Manuela; Gavilanes-Velaz-de-Medrano, Juan; Pérez-de-la-Cruz-Molina, José Luis (IEEE Transactions on Learning Technologies, 2016)
In this paper, we present BH-ShaDe, a new software tool to assist architecture students learning the ill-structured domain/task of housing design. The software tool provides students with automatic or interactively generated ... -
Búsqueda multiobjetivo basada en RBFS y punto ideal
Muchos problemas reales precisan del tratamiento simultáneo de objetivos contrapuestos, donde la mejora de la calidad de uno de ellos conlleva el empeoramiento de otros. Este artículo presenta RIPS, un algoritmo multiobjetivo ... -
Comparación de algoritmos de aprendizaje por refuerzo basados en Q-Learning
(2021-06)El presente Trabajo de Fin de Grado se centra en el Aprendizaje por Refuerzo, y más concretamente en el algoritmo QLearning[1], comparando tres de sus variantes más populares (Épsilon-greedy [2], SoftMax [3] y Upper ... -
Context-aware Assessment Using QR-codes
Conejo-Muñoz, Ricardo José; Pérez-de-la-Cruz-Molina, José Luis; Barros-Blanco, Beatriz; Gálvez, Jaime; García-Viñas, Juan Ignacio (SAGE, 2013)
In this paper we present the implementation of a general mechanism to deliver tests based on mobile devices and matrix codes. The system is an extension of Siette, and has not been specifically developed for any subject ... -
Design with shapes grammars and reinforcement learning.
Ruiz-Montiel, Manuela; Boned-Purkiss, Francisco Javier; Gavilanes-Velaz-de-Medrano, Juan; Jiménez-Morales, Eduardo; Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis[et al.] (Elsevier, 2013-01)
Shape grammars are a powerful and appealing formalism for automatic shape generation in computer-based design systems. This paper presents a proposal complementing the generative power of shape grammars with reinforcement ... -
Estudio experimental de diversos algoritmos de aprendizaje por refuerzo
(2021-01-18)Los algoritmos desarrollados en este trabajo pretenden resolver mediante aprendizaje por refuerzo tres entornos distintos (Taxi, Cartpole y MountainCar) proporcionados por el framework OpenAI Gym [1] y hacer una comparativa ... -
Gramáticas difusas de formas
Pérez-de-la-Cruz-Molina, José Luis; Mandow-Andaluz, Lorenzo; López-Romero, Fernando; Ruiz-Montiel, Manuela (AEPIA, 2015)
Presentamos una generalización difusa del concepto de computacion o derivacion en una gramática de formas. Primeramente presentamos las ideas en abstracto y posteriormente describimos una implementacion software y algunos ... -
Improving Bi-Objective Shortest Path Search with Early Pruning.
Bi-objective search problems are a useful generalization of shortest path search. This paper reviews some recent contributions for the solution of this problem with emphasis on the efficiency of the dominance checks ... -
Learning Bayesian Networks for Student Modeling
Millán-Valldeperas, Eva; Belmonte-Martínez, María Victoria; Jiménez, Guiomar; Pérez-de-la-Cruz-Molina, José Luis (2015-07-03)
In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this ... -
Multi-objective bandit algorithms with Chebyshev scalarization.
In this paper we analyze several alternatives for Chebyshev scalarization in multi-objective bandit problems. The alternatives are evaluated on a reference bi-objective benchmark problem of Pareto frontier approximation. ... -
Multi-objective dynamic programming with limited precision
Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis; Pozas García, Nicolás (Springer, 2021-11-02)
This paper addresses the problem of approximating the set of all solutions for Multi-objective Markov Decision Processes. We show that in the vast majority of interesting cases, the number of solutions is exponential or ... -
New computational techniques for detecting, learning and managing criteria in design problems
(UMA Editorial, 2016)Los problemas de diseño suelen involucrar la consideración de criterios de diferente naturaleza, incluyendo necesidades técnicas, económicas, sociales y medioambientales, entre otras. Las herramientas CAD tradicionales ... -
PQ-learning: aprendizaje por refuerzo multiobjetivo
En este artí culo describimos y analizamos PQ-learning, un algoritmo para problemas de aprendizaje por refuerzo multiobjetivo. El algoritmo es una extensi ón de Q-learning, un algoritmo para problemas de aprendizaje ... -
Proyecto arquitectónico mediante gramáticas de formas sencillas y aprendizaje.
Ruiz-Montiel, Manuela; Boned-Purkiss, Francisco Javier; Gavilanes-Velaz-de-Medrano, Juan; Jiménez-Morales, Eduardo; Mandow, Lawrence; Pérez-de-la-Cruz-Molina, José Luis[et al.] (Iberamia, 2014-12-18)
En este artículo se presenta una propuesta para la generación automática de planos arquitectónicos. La propuesta se basa en el entrenamiento de gramáticas de formas muy sencillas mediante técnicas de aprendizaje por refuerzo. ... -
Pruning dominated policies in multiobjective Pareto Q-learning
Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis (2019-10-18)
The solution for a Multi-Objetive Reinforcement Learning problem is a set of Pareto optimal policies. MPQ-learning is a recent algorithm that approximates the whole set of all Pareto-optimal deterministic policies by ... -
Randomness and control in design processes: an empirical study with architecture students.
Belmonte-Martínez, María Victoria; Millán-Valldeperas, Eva; Ruiz-Montiel, Manuela; Badillo, Reyes; Boned-Purkiss, Francisco Javier; Mandow-Andaluz, Lorenzo; Pérez-de-la-Cruz-Molina, José Luis[et al.] (2014-02-12)
The aim of this study is to explore designers' preferences between randomness and control in the generation of architectural forms. To this end, a generative computer tool was implemented that allows both random and ... -
A temporal difference method for multi-objective reinforcement learning
This work describes MPQ-learning, an temporal-difference method that approximates the set of all non-dominated policies in multi-objective Markov decision problems, where rewards are vectors and each component stands for ... -
Using machine learning techniques for architectural design tracking: an experimental study of the design of a shelter.
Millán-Valldeperas, Eva; Belmonte-Martínez, María Victoria; Boned-Purkiss, Francisco Javier; Gavilanes-Velaz-de-Medrano, Juan; Pérez-de-la-Cruz-Molina, José Luis; Díaz-López, Carmen[et al.] (Elsevier, 2022-02-17)
In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ...