Associate Professor
Office: 2.1.B19
Departamento de Informática Universidad Carlos III de Madrid Avda. de la Universidad, 30 28911-Leganés, MADRID SPAIN
+(34) 91 624 8842 / FAX +(34) 91 624 91 29
/ www.plg.inf.uc3m.es/~ffernand
Google Scholar / dblp / Plus
Strategies for simulating pedestrian navigation with multiple reinforcement learning agents. Francisco Martínez-Gil, Miguel Lozano and Fernando Fernández. In Autonomous Agents and Multi-Agent Systems. 2014.
Teaching Human Poses Interactively to a Social Robot. Victor Gonzalez-Pacheco, Maria Malfaz, Fernando Fern\'andez and Miguel A. Salichs. In Sensors 13(9). Pages 12406--12430, 2013
From Perception to Action and vice versa: a new architecture showing how perception and action can modulate each other simultaneously. Antonio Jesús Palomino, Ángel García-Olaya, Fernando Fernández and Juan Pedro Bandera. In Proceedings of European Conference on Mobile Robots, Barcelona, Spain. 2013
Using Automated Planning for Improving Data Mining Processes. Susana Fernández, Tomás de la Rosa, Fernando Fernández, Rubén Suárez, Javier Ortiz, Daniel Borrajo and David Manzano. In The Knowledge Engineering Review 28(2), pp. 157-173. Cambridge University Press. 2013
Learning Predictive Models to Configure Planning Portfolios . Isabel Cenamor, Tomás de la Rosa and Fernando Fernández. In Proceedings of the 4th workshop on Planning and Learning, International Conference on Automated Planning and Schedulling. 2013
THERAPIST: Towards an Autonomous Socially Interactive Robot for Motor and Neurorehabilitation Therapies for Children. L.V. Calderita, P. Bustos, C. Suárez Mejías, F. Fernández and A. Bandera . In proceedings of ICTs for improving Patients Rehabilitation Research Techniques, REHAB 2013 Workshop. 2013
Integrating Planning, Execution and Learning to Improve Plan Execution . Serjio Jiménez, Fernando Fernández and Daniel Borrajo. In Computational Intelligence 29(1), pp. 1-36. Wiley-Blackwell Publishing, Inc. 2013
Learning Domain Structure Through Probabilistic Policy Reuse in Reinforcement Learning. Fernando Fernández and Manuela Veloso. Progress in Artificial Intelligence 2(1), pp 13-27. Springer Berlin. 2013.
A Meta-tool to Support the Development of Knowledge Engineering Methodologies and Projects. José Eloy Flórez, Javier Carbó and Fernando Fernández. International Journal of Software Engineering and Knowledge Engineering 22(8), pp. 1055-1083. World Scientific. 2012
Safe Exploration of State and Action Spaces in Reinforcement Learning. Javier García and Fernando Fernández. Journal of Artificial Intelligence Research 45, pp. 515-564. 2012.
Reinforcement Learning for Decision-Making in a Business Simulator . Javier García, Fernando Borrajo and Fernando Fernández. International Journal of Information Technology and Decision Making 11(5), pp 935-960. World Scientific, 2012.
A Review of Machine Learning for Automated Planning . Sergio Jiménez, Tomás de la Rosa, Susana Fernández, Fernando Fernández and Daniel Borrajo. The Knowledge Engineering Review 27(4), pp. 433-467. Cambridge University Pres. 2012
Calibrating a motion model based on reinforcement learning for pedestrian simulation. Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández. Fifth International Conference on Motion in Games. Rennes, France. Lecture Notes in Computer Sciences 7660, pp 302-310 2012.
Variable resolution planning through predicate relaxation . Moisés Martínez, Fernando Fernández and Daniel Borrajo. In Workshop on Planning and Plan Execution for Real-World Systems: Principles and Practices (PlanEx) , ICAPS. 2012
A Prototype-Based Method for Classification with Time Constraints: A Case Study on Automated Planning. Rocío García, Fernando Fernández, Daniel Borrajo. In Pattern Analysis and Applications 15(3), pp. 261-277. Springer. 2012
Mining IPC-2011 Results. Isabel Cenamor, Tomás de la Rosa and Fernando Fernández. In Proceedings of the Third Workshop on the International Planning Competition. 2012.
Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation. Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández. In Adaptive and Learning Agents, AAMAS 2011 International Workshop, ALA 2011. Lecture Notes in Artificial Intelligence 7113, pp. 54-69. 2012
A Kinodynamic Planning-Learning Algorithm for complex robot motor control. Javier González-Quijano, Mohamed Abderrahim, Fernando Fernández, Choukri Bensalah. In Proceedings of the IEEE Evolving and Adaptive Intelligent Systems 2012 (IEEE EAIS 12). 2012.
Autonomous Mobile Robot Control and Learning with the PELEA Architecture. Ezequiel Quintero, Ángel García-Olaya, Vidal Alcázar, Daniel Borrajo, Juan Fdez-Olivares, César Guzmán, Eva Onaindía, David Prior and Fernando Fernández. In Proceedings of the AAAI-11 Workshop on Automated Action Planning for Autonomous Mobile Robots (PAMR), pp 51-56. 2011.
Business Simulators for Business Education and Research. Fernando Borrajo, Yolanda Bueno, Fernando Fernández ,Isidro de Pablo, Javier García, Ismael Sagredo, Begoña Santos. In Computer Games as Educational and Management Tools: Uses and Approaches . IGI Global. 2011.
Control of Autonomous Mobile Robots with Automated Planning. Ezequiel Quintero, Ángel García-Olaya, Daniel Borrajo, Fernando Fernández. In Journal of Phisical Agents (JoPhA) 5(1), pp 3-13. 2011.
Multi-Agent Reinforcement Learning for Simulating Pedestrian Navigation. Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández. In Proceedings of the Adaptive Learning Agents Workshop at AAMAS (ALA'2011). Taipei, Taiwan. 2011.
A Similarity Function with Local Feature Weighting for Structured Data. Rubén Suárez, Rocío García Durán and Fernando Fernández. In Proceedings of the 2011 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'11). Bruges (Belgium) 2011.
Safe Reinforcement Learning in High-Risk Tasks through Policy Improvement. Javier García, Fernando Fernández. In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning. Paris, France. 2011.
A Comparative Study of Discretization Approaches for State Space Generalization in the Keepaway Soccer Task. Javier García, Iván López-Bueno, Fernando Fernández y Daniel Borrajo. In Progress of Education, Vol. 21 Nova Science Publishers . 2011.
Learning Virtual Agents for Decision-Making in Business Simulators. Javier García and Fernando Borrajo and Fernando Fernáandez. In Proceedings of MALLOW (Multi-Agent Logics, Languages, and Organisations Federated Workshops) 2010 Workshop on Multi-Agent Systems and Simulation (MAS&S). 2010.
Improving the Execution of KDD Workflows Generated by AI Planners. Susana Fernández, Rubén Suárez, Tomás de la Rosa, Javier Ortiz, Fernando Fernández, Daniel Borrajo. In Proceedings of the ECAI 2010 Planning to Learn Workshop (PlanLearn). 2010.
Control architecture for autonomous mobile robots with automated planning techniques. Ezequiel Quintero, Ángel García, Daniel Borrajo and Fernando Fernández. In Proceedings of the Workshop of Physical Agents (WAF'2010). 2010.
Planning for Data Mining Tool (PDM). Javier Ortiz, Rubén Suárez, Tomás de la Rosa, Susana Fernández, Fernando Fernández, Daniel Borrajo and David Manzano. In Proceedings of the ICAPS 2010 System Demonstrations. 2010
Un Simulador Empresarial como Herrramienta Práctica para la Asignatura de Aprendizaje Automático. Raquel Fuentetaja, Silvia de Castro, Javier García, Fernando Fernández, Daniel Borrajo y Fernando Borrajo. En Jornadas de Enseñanza Universitaria de la Informática (JENUI 2010). Santiago de Compostela, España, 2010.
A Reinforcement Learning approach for Multiagent Navigation. Francisco Martínez-Gil, Fernando Barber, Miguel Lozano, Francisco Grimaldo and Fernando Fernández. International Conference on Agents and Artificial Intelligence, pp 607-610. 2010.
Probabilistic Policy Reuse for Inter-Task Transfer Learning. Fernando Fernández, Javier García and Manuela Veloso. Robotics and Autonomous Systems 58(7), Special Issue on Advances in Autonomous Robots for Service and Entertainment, pp 866-871. 2010.
SIMBA: A Simulator for Business Education and Research . Fernando Borrajo, Yolanda Bueno, Isidro de Pablo, Begoña Santos, Fernando Fernández, Javier García and Ismael Sagredo. Decision Support Systems 48(3), pp 498-506. Elsevier 2010.
Business Simulation in Business Education. Fernando Borrajo, Yolanda Bueno, Fernando Fernández, Javier García, Isidro de Pablo, Ismael Sagredo, Begoña Santos. In Distance Education , Chapter 4. Nova Science Publishers. 2009. ISBN: 978-1-61728-858-6
Three Relational Learning Approaches for Lookahead Heuristic Planning. Tomás de la Rosa and Sergio Jiménez and Rocío García-Durán and Fernando Fernández and Angel García-Olaya and Daniel Borrajo. {Proceedings of the ICAPS'09 Workshop on Planning and Learning, 2009.
On Compiling Data Mining Tasks to PDDL. Susana Fernández and Fernando Fernández and Alexis Sánchez and Tomás de la Rosa and Javier Ortiz and Daniel Borrajo and David Manzano. Proceedings of the International Competition on Knoweldge Engieering for Planning and Schedulling (ICKEPS'09), 2009.
Assisting Data Mining through Automated Planning. Fernando Fernández, Daniel Borrajo, Susana Fernández and David Manzano. Machine Learning and Data Mining 2009 (MLDM 2009). Lecture Notes in Artificial Intelligence 5632, pp 760-774. Springer-Verlag 2009.
Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. Iván López-Bueno and Javier García and Fernando Fernández. 10th International Work-Conference on Artificial Neural Networks (IWANN 2009). Lecture Notes in Computer Science 5517, pp 577-584. 2009.
Reinforcement Learning of Pedagogical Policies in Adaptive and Intelligent Educational Systems. Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández. Knowledge Based Systems 22(4), pp 266-270. 2009.
Learning Teaching Strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández. Applied Intelligence 31(1), pp 89-106. 2009.
Nearest Prototype Classification of Noisy Data. Fernando Fernández and Pedro Isasi. Artificial Intelligence Review 30(1), pp 53-66. Springer. 2008. DOI 10.1007/s10462-009-9116-7
Learning and Transferring Relational Instance-Based Policies. Rocío García-Durán, Fernando Fernández and Daniel Borrajo. Transfer Learning for Complex Task Workshop of the AAAI'08, Technical Report WS-08-13, pp 19-24. AAAI Press 2008.
Prototypes Based Relational Learning. Rocío García-Durán, Fernando Fernández and Daniel Borrajo. The 13th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA'08). Lecture Notes in Artificial Intelligence 5253, pp 130-143. Springer-Verlag 2008.
Local Feature Weighting in Nearest Prototype Classification. Fernando Fernández and Pedro Isasi. IEEE Transactions on Neural Networks 19(1), pp 40-53. 2008.
Two Steps Reinforcement Learning. Fernando Fernáandez and Daniel Borrajo. International Journal of Intelligent Systems 23(2), pp 213-245. 2008.
The PELA architecture: integrating planning and learning to improve execution. Sergio Jiménez and Fernando Fernández and Daniel Borrajo. Proceedings of the AAAI'08. 2008.
Reinforcement Learning in the RoboCup-Soccer Keepaway. Francisco Javier García, Manuela Veloso and Fernando Fernández. Proceedings of the 12th Conference of the Spanish Association for Artificial Intelligence (CAEPIA'07+TTIA). 2007.
Learning Action Durations from Executions. Jesús Lanchas, Sergio Jiménez, Fernando Fernández and Daniel Borrajo. Proceedings of the ICAPS-07 Workshop on AI Planning and Learning (AIPL-07). 2007.
Combining Macro-operators with Control Knowledge . Rocío García-Durán, Fernando Fernández and Daniel Borrajo. 16th International Conference on Inductive Logic Programming (ILP'06). Lecture Notes in Artificial Intelligence 4455, pp 229-244. Springer-Verlag 2007.
Learning Pedagogical Policies from Reduced Experience . Ana Iglesias, Paloma Martínez, Ricardo Aler and Fernando Fernández . ECAI'06 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds. August 2006.
Nearest Prototype Classification for Relational Learning . Rocío García-Durán, Fernando Fernández and Daniel Borrajo. 16th International Conference on Inductive Logic Programming (ILP'06). August 2006.
Policy Reuse for Transfer Learning Across Tasks with DifferentState and Action Spaces . Fernando Fernández and Manuela Veloso. ICML'06 Workshop on Structural Knowledge Transfer for Machine Learning. June 2006.
Reusing and Building Policy Libraries . Fernando Fernández and Manuela Veloso. Proceedings of the International Conference on Automated Planning and Schedulling (ICAPS'06). June 2006.
Probabilistic Policy Reuse in a Reinforcement Learning Agent. Fernando Fernández and Manuela Veloso. Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'06). May 2006.
Roboskeleton: An Architecture for Coordinating Robot Soccer Agents David Camacho, Fernando Fernández and Miguel Ángel Rodelgo. Engineering Applications of Artificial Intelligence 19(2), pp 179-188. 2006.
Machine learning of plan robustness knowledge about instances. Sergio Jiménez, Fernando Fernández and Daniel Borrajo. In Proceedings of the European Conference on Machine Learning (ECML'05). October 2005.
Building a Library of Policies through Policy Reuse . Fernando Fernández and Manuela Veloso. Technical Report CMU-CS-05-174. Computer Science Department, Carnegie Mellon University. July 2005.
Learning by Probabilistic Reuse of Past Policies . Fernando Fernández and Manuela Veloso. Technical Report CMU-CS-05-173. Computer Science Department, Carnegie Mellon University. July 2005.
Exploration and Policy Reuse . Fernando Fernández and Manuela Veloso. Technical Report CMU-CS-05-172. Computer Science Department, Carnegie Mellon University. July 2005.
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains. Fernando Fernández, Daniel Borrajo and Lynne Parker. Journal of Intelligent Robotics Systems 43, pp 161-174, 2005.
Capturing knowledge about the instances behavior in probabilistic domains . Sergio Jiménez, Fernando Fernández and Daniel Borrajo. PLANSIG-05. Pages 44-51. 2005.
Evolutionary Design of Nearest Prototype Classifiers. Fernando Fernández and Pedro Isasi. In Journal of Heuristics 10(4). 2004.
Learning Content Sequencing in an Educational Environment According Student Need. Ana Iglesias , Paloma Martínez, Ricardo Aler and Fernando Fernández . In Algorithmic Learning Theory: 15th International Conference, ALT 2004. Lecture Notes on Computer Sciences 3244. Pages 454 - 463. Springer-Verlag. 2004
An Experience Applying Reinforcement Learning in a Web-based Adaptive and Intelligent Educational System. Ana Iglesias , Paloma Martínez and Fernando Fernández . In Informatics in Education, I.J. 2. 2003.
Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. Pedro Isasi and Fernando Fernández . Computational Methods in Neural Modelling. Lecture Notes in Computer Sciences 2686, pp 254-261. Springer-Verlag. 2003
From Continuous Behaviour to Discrete Knowledge.. Agapito Ledezma, Fernando Fernández and Ricardo Aler. Artificial Neural Nets Problem Solving Methods (IWANN 2003). Lecture Notes in Computer Sciences 2687, pp 217-224. Springer-Verlag. 2003
Analising the Advantages of Using Exploration and Exploitation Strategies in an Adaptive and Intelligent Educational System. Ana Iglesias , Paloma Martínez, Ricardo Aler and Fernando Fernández . In Proceedings of the Second International Conference on Multimedia and Information & Communication Technologies in Education (m-ICTE 2003). Pages 489-493. 2003
Navigating Through the RLATES Interface: A Web-based Adaptive and Intelligentet Educational System. Ana Iglesias , Paloma Martínez and Fernando Fernández . In On the Move to Meaningful Internet Systems 2003: OTM 2003 workshops. Lecture Notes in Computer Sciences 2889. Pages 175-184. Springer-Verlag. 2003
On Determinism Handling While Learning State Space Representations. Fernando Fernández ,Daniel Borrajo. In Proceedings of the European Conference on Artificial Intelligence (ECAI'02). Lyon. France. 2002.
Applying Reinforcement Learning in Intelligent Tutoring Systems. Ana Iglesias , Paloma Martínez and Fernando Fernández . In Proceedings of the Fourth International Conference on New Educational Environment (ICNEE 2002). Pages 11-14. 2002.
Learning to Teach Database Design by Trial and Error Ana Iglesias , Paloma Martínez, Dolores Cuadra, Elena Castro and Fernando Fernández . In Proceedings of the 4th International Conference on Enterprise Information Systems (ICEIS 2002). Pages 500-505. 2002.
Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. Fernando Fernández and Pedro Isasi. In Computing and Informatics 21(3). 2002. Pages 205-220. 2002.
Techniques for Learning in Multi-Robot Teams. Lynne Parker, Claude Touzet and Fernando Fernández. Techniques for Learning in Multi-Robot Teams, Robot Teams: From Diversity to Polymorphism, Tucker Balch and Lynne E. Parker (eds.), A K Peters, 2001.
Learning in Large Cooperative Multi-Robot Domains. Fernando Fernández , Lynne Parker. International Journal of Robotics and Automation, special issue on Computational Intelligence Techniques in Cooperative Robots, 16 (4), pages 217-226, 2001.
Designing Nearest Neighbour Classifiers by the Evolution of a Population of Prototypes. Fernando Fernández, Pedro Isasi. In Proceedings of the European Symposium on Artificial Neural Networks, pp. 171-178, Bruges - April 25-27, 2001.
VQQL. Applying Vector Quantization to Reinforcement Learning. Fernando Fernández , Daniel Borrajo. In Lecture Notes in Artificial Intelligence 1856. Pages 292-303. M.Veloso, E. Pagello and Hiroaki Kitano Eds. Springer Verlag, 2000.
Iterative VQQL for Learning Skills . Fernando Fernández and Daniel Borrajo. In Proceedings of Learning'00. Leganes, Madrid, Spain. 2000.
Vector Quantization Applied to Reinforcement Learning. Fernando Fernández and Daniel Borrajo. In Working notes of the IJCAI'99 Workshop on RoboCup. Stockholm, Sweden. August, 1999.