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Fernando Fernández
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Citado por
Citado por
Año
A comprehensive survey on safe reinforcement learning
J Garcıa, F Fernández
Journal of Machine Learning Research 16 (1), 1437-1480, 2015
17442015
Probabilistic policy reuse in a reinforcement learning agent
F Fernández, M Veloso
Proceedings of the fifth international joint conference on Autonomous agents …, 2006
4092006
Safe Exploration of State and Action Spaces in Reinforcement Learning
J Garcıa, F Fernández
Journal of Artificial Intelligence Research 45, 515-564, 2012
2012012
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
1752012
Probabilistic policy reuse for inter-task transfer learning
F Fernández, J García, M Veloso
Robotics and Autonomous Systems 58 (7), 866-871, 2010
1242010
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
1192009
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
1002010
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
902014
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
892017
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
782009
Evolutionary design of nearest prototype classifiers
F Fernández, P Isasi
Journal of Heuristics 10, 431-454, 2004
742004
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
712017
Learning in large cooperative multi-robot domains
F Fernandez, LE Parker
Acta Press, 2001
672001
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
632014
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
622017
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
592019
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
532017
The PELA architecture: integrating planning and learning to improve execution
S Jiménez, F Fernández, D Borrajo
National Conference on Artificial Intelligence (AAAI’2008), 2008
512008
Local feature weighting in nearest prototype classification
F Fernández, P Isasi
IEEE Transactions on Neural Networks 19 (1), 40-53, 2008
512008
Learning Domain Structure Through Probabilistic Policy Reuse in Reinforcement Learning
F Fernández, M Veloso
Progress In Artificial Intelligence, 2012
502012
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Artículos 1–20