Fernando Fernández

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Francisco Javier GarcíaUniversidad de Santiago de CompostelaVerified email at usc.es
Daniel BorrajoProfessor of Computer Science, Universidad Carlos III de MadridVerified email at ia.uc3m.es
José Carlos González DoradoPh. D. Universidad Carlos III de Madrid, InrobicsVerified email at alumnos.uc3m.es
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tomás de la RosaUniversidad Carlos III of MadridVerified email at inf.uc3m.es
José Carlos Pulido PascualPh.D. in Computer Science and TechnologyVerified email at inf.uc3m.es
Ana IglesiasAssociate Professor - Computer Science and Engineering Department - Universidad Carlos III de MadridVerified email at inf.uc3m.es
Antonio BanderaDpto. Tecnologia Electronica, Malaga UniversityVerified email at uma.es
Paloma Martínez (ORCID 0000-0003-...Full Professor, Computer Science Department, Universidad Carlos III de MadridVerified email at inf.uc3m.es
Pablo BustosRoboLab, School of Technology, Universidad de ExtremaduraVerified email at unex.es
Isabel CenamorXplain A. G.Verified email at alumnos.uc3m.es
Miguel Lozano IbáñezComputer Science, University of Valencia - SpainVerified email at uv.es
Francisco Martinez GilTitular de Universidad. Universitat de ValenciaVerified email at uv.es
Ricardo AlerUniversidad Carlos III de MadridVerified email at inf.uc3m.es
Luis V. CalderitaLecturer in Computer Science. University of ExtremaduraVerified email at unex.es
Cristina Suarez MejiasFISEVI, Virgen del Rocío University HospitalVerified email at juntadeandalucia.es
RAQUEL FUENTETAJAUniversidad Carlos III de MadridVerified email at inf.uc3m.es
Sergio Jiménez CelorrioValencian Research Institute for Artificial Intelligence. Universitat Politècnica de ValènciaVerified email at dsic.upv.es
Luis J. MansoLecturer in Computer Science, Aston University, UKVerified email at aston.ac.uk
Juan Pedro BanderaProfesor de Tecnología Electrónica (UMA)Verified email at uma.es

Fernando Fernández

Profesor Titular Universidad Carlos III de Madrid (UC3M)

Verified email at inf.uc3m.es - Homepage

Artificial Intelligence Machine Learning Automated Planning Social Assistive Robotics Artificial Intelligence in Finance


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A comprehensive survey on safe reinforcement learning J Garcıa, F Fernández Journal of Machine Learning Research 16 (1), 1437-1480, 2015	1627	2015
Probabilistic policy reuse in a reinforcement learning agent F Fernández, M Veloso Proceedings of the fifth international joint conference on Autonomous agents …, 2006	402	2006
Safe Exploration of State and Action Spaces in Reinforcement Learning J Garcıa, F Fernández Journal of Artificial Intelligence Research 45, 515-564, 2012	190	2012
A review of machine learning for automated planning S Jiménez, T De La Rosa, S Fernández, F Fernández, D Borrajo The Knowledge Engineering Review 27 (4), 433-467, 2012	169	2012
Probabilistic policy reuse for inter-task transfer learning F Fernández, J García, M Veloso Robotics and Autonomous Systems 58 (7), 866-871, 2010	122	2010
Learning teaching strategies in an adaptive and intelligent educational system through reinforcement learning A Iglesias, P Martínez, R Aler, F Fernández Applied Intelligence 31, 89-106, 2009	116	2009
SIMBA: A simulator for business education and research F Borrajo, Y Bueno, I De Pablo, B Santos, F Fernández, J García, ... Decision Support Systems 48 (3), 498-506, 2010	94	2010
Evaluating the child–robot interaction of the NAOTherapist platform in pediatric rehabilitation JC Pulido, JC González, C Suárez-Mejías, A Bandera, P Bustos, ... International Journal of Social Robotics 9, 343-358, 2017	88	2017
THERAPIST: towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children LV Calderita, LJ Manso, P Bustos, C Suárez-Mejías, F Fernández, ... JMIR rehabilitation and assistive technologies 1 (1), e3151, 2014	86	2014
Evolutionary design of nearest prototype classifiers F Fernández, P Isasi Journal of Heuristics 10, 431-454, 2004	74	2004
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems A Iglesias, P Martínez, R Aler, F Fernández Knowledge-Based Systems 22 (4), 266-270, 2009	73	2009
Modeling, evaluation, and scale on artificial pedestrians: a literature review F Martinez-Gil, M Lozano, I García-Fernández, F Fernández ACM Computing Surveys (CSUR) 50 (5), 1-35, 2017	69	2017
Learning in large cooperative multi-robot domains F Fernandez, LE Parker Acta Press, 2001	65	2001
A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots JC González, JC Pulido, F Fernández Cognitive Systems Research 43, 232-249, 2017	60	2017
MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups F Martinez-Gil, M Lozano, F Fernández Simulation Modelling Practice and Theory 47, 259-275, 2014	58	2014
Reinforcement learning for pricing strategy optimization in the insurance industry E Krasheninnikova, J García, R Maestre, F Fernández Engineering Applications of Artificial Intelligence 80, 8-19, 2019	55	2019
The PELA architecture: integrating planning and learning to improve execution S Jiménez, F Fernández, D Borrajo National Conference on Artificial Intelligence (AAAI’2008), 2008	51	2008
Learning Domain Structure Through Probabilistic Policy Reuse in Reinforcement Learning F Fernández, M Veloso Progress In Artificial Intelligence, 2012	49	2012
Local feature weighting in nearest prototype classification F Fernández, P Isasi IEEE Transactions on Neural Networks 19 (1), 40-53, 2008	49	2008
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models F Martinez-Gil, M Lozano, F Fernández Simulation Modelling Practice and Theory 74, 117-133, 2017	48	2017

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