Fernando Fernández

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 31

Top Topics

Markov Decision Process

Automated Planning

Reinforcement Learning

Top Venues

Eng. Appl. Artif. Intell.

Simul. Model. Pract. Theory

Publications

Rubén Majadas, Javier García-Polo, Fernando Fernández
Clustering-based attack detection for adversarial reinforcement learning. Appl. Intell. 54 (3) (2024)
José Carlos Pulido, Raquel Fuentetaja, Enrique García, Melania García, Vanesa Abuín, José Carlos González, Ana Iglesias, Fernando Fernández
A gamified social robotics platform for intensive therapies in neurorehabilitation. Intell. Serv. Robotics 17 (3) (2024)
José Luis Pérez, Javier Corrochano, Javier García, Rubén Majadas, Cristina Ibáñez-Llano, Sergio Pérez, Fernando Fernández
Discrete Uncertainty Quantification For Offline Reinforcement Learning. J. Artif. Intell. Soft Comput. Res. 13 (4) (2023)
Alba Gragera, Raquel Fuentetaja, Ángel García Olaya, Fernando Fernández
A Planning Approach to Repair Domains with Incomplete Action Effects. ICAPS (2023)
Oscar Fernández Vicente, Fernando Fernández, Javier García
Automated market maker inventory management with deep reinforcement learning. Appl. Intell. 53 (19) (2023)
Javier García, Álvaro Visús, Fernando Fernández
A taxonomy for similarity metrics between Markov decision processes. Mach. Learn. 111 (11) (2022)
Ana Iglesias, Javier García, Angel García Olaya, Raquel Fuentetaja, Fernando Fernández, Adrián Romero-Garcés, Rebeca Marfil, Antonio Bandera, Karine Lan Hing Ting, Dimitri Voilmy, Alvaro Dueñas-Ruiz, Cristina Suárez-Mejías
Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework. IEEE Trans. Hum. Mach. Syst. 51 (6) (2021)
Rubén Majadas, Javier García, Fernando Fernández
Disturbing Reinforcement Learning Agents with Corrupted Rewards. CoRR (2021)
Rebeca Marfil, Adrián Romero-Garcés, Juan Pedro Bandera Rubio, Luis J. Manso, Luis V. Calderita, Pablo Bustos, Antonio Bandera, Javier García-Polo, Fernando Fernández, Dimitri Voilmy
Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics. Cogn. Comput. 12 (2) (2020)
José Carlos González, Angel García Olaya, Fernando Fernández
Multi-Layered Multi-Robot Control Architecture for the Robocup Logistics League. ICARSC (2020)
Raquel Fuentetaja, Angel García Olaya, Javier García, José Carlos González, Fernando Fernández
An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics. Sensors 20 (22) (2020)
Javier García, Rubén Majadas, Fernando Fernández
Learning adversarial attack policies through multi-objective reinforcement learning. Eng. Appl. Artif. Intell. 96 (2020)
Elena Krasheninnikova, Javier García, Roberto Maestre, Fernando Fernández
Reinforcement learning for pricing strategy optimization in the insurance industry. Eng. Appl. Artif. Intell. 80 (2019)
Adrián Gallego, José Carlos Pulido, José Carlos González, Fernando Fernández
Design of a Robotic as a Service Platform to Perform Rehabilitation Therapies. ROBOT (2) (2019)
Javier García, Fernando Fernández
Probabilistic Policy Reuse for Safe Reinforcement Learning. ACM Trans. Auton. Adapt. Syst. 13 (3) (2019)
José Carlos Pulido, Cristina Suarez-Mejias, José Carlos González, Alvaro Dueñas-Ruiz, Patricia Ferrand Ferri, Maria Encarnacion Martinez Sahuquillo, Carmen Echevarria Ruiz De Vargas, Pedro Infante-Cossio, Carlos Luis Parra Calderón, Fernando Fernández
A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation: A Longitudinal Study With Pediatric Patients. IEEE Robotics Autom. Mag. 26 (2) (2019)
Alba Gragera, Alba María García, Fernando Fernández
A Modelling and Formalisation Tool for Use Case Design in Social Autonomous Robotics. ROBOT (2) (2019)
Misra Turp, José Carlos González, José Carlos Pulido, Fernando Fernández
Developing a Robot-Guided Interactive Simon Game for Physical and Cognitive Training. Int. J. Humanoid Robotics 16 (1) (2019)
Jesús Martínez, Adrián Romero-Garcés, Cristina Suarez, Rebeca Marfil, Karine Lan Hing Ting, Ana Iglesias, Javier García, Fernando Fernández, Alvaro Dueñas-Ruiz, Luis V. Calderita, Antonio Bandera, Juan Pedro Bandera Rubio
Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: updating the CLARC system. RO-MAN (2018)
Angel García Olaya, Raquel Fuentetaja, Javier García-Polo, José Carlos González, Fernando Fernández
Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot. WAF (2018)
Moisés Martínez, Javier García, Fernando Fernández
On-Line Case-Based Policy Learning for Automated Planning in Probabilistic Environments. Int. J. Inf. Technol. Decis. Mak. 17 (3) (2018)
José Carlos González, José Carlos Pulido, Fernando Fernández
A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots. Cogn. Syst. Res. 43 (2017)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models. Simul. Model. Pract. Theory 74 (2017)
Dimitri Voilmy, Cristina Suarez, Adrián Romero-Garcés, Cristian Reuther, José Carlos Pulido, Rebeca Marfil, Luis Jesús Manso, Karine Lan Hing Ting, Ana Iglesias, José Carlos González, Javier García, Angel García Olaya, Raquel Fuentetaja, Fernando Fernández, Alvaro Dueñas-Ruiz, Luis Vicente Calderita, Pablo Bustos, T. Barile, Juan Pedro Bandera Rubio, Antonio Bandera
CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios. ROBOT (1) (2017)
Antonio Bandera, Juan Pedro Bandera Rubio, Pablo Bustos, Fernando Fernández, Angel García Olaya, Javier García-Polo, Ismael García-Varea, Luis Jesús Manso, Rebeca Marfil, Jesus Martínez-Gómez, Pedro Núñez, José Manuel Pérez-Lorenzo, Pedro Reche López, Cristina Romero-González, Raquel Viciana-Abad
LifeBots I: Building the Software Infrastructure for Supporting Lifelong Technologies. ROBOT (1) (2017)
José Carlos Pulido, José Carlos González, Cristina Suarez-Mejias, Antonio Bandera, Pablo Bustos, Fernando Fernández
Evaluating the Child-Robot Interaction of the NAOTherapist Platform in Pediatric Rehabilitation. Int. J. Soc. Robotics 9 (3) (2017)
Enrique García Estévez, Irene Díaz Portales, José Carlos Pulido, Raquel Fuentetaja, Fernando Fernández
Enhancing a Robotic Rehabilitation Model for Hand-Arm Bimanual Intensive Therapy. ROBOT (1) (2017)
Tomás de la Rosa, Isabel Cenamor, Fernando Fernández
Performance Modelling of Planners from Homogeneous Problem Sets. ICAPS (2017)
Francisco Martinez-Gil, Miguel Lozano, Ignacio García-Fernández, Fernando Fernández
Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review. ACM Comput. Surv. 50 (5) (2017)
Isabel Cenamor, Tomás de la Rosa, Fernando Fernández
The IBaCoP Planning System: Instance-Based Configured Portfolios. J. Artif. Intell. Res. 56 (2016)
Moisés Martínez, Fernando Fernández, Daniel Borrajo
Planning and execution through variable resolution planning. Robotics Auton. Syst. 83 (2016)
Javier García, Fernando Fernández
A comprehensive survey on safe reinforcement learning. J. Mach. Learn. Res. 16 (2015)
Alejandro Martín, José Carlos González, José Carlos Pulido, Angel García Olaya, Fernando Fernández, Cristina Suarez
Therapy Monitoring and Patient Evaluation with Social Robots. REHAB (2015)
José Carlos González, José Carlos Pulido, Fernando Fernández, Cristina Suarez-Mejias
Planning, Execution and Monitoring of Physical Rehabilitation Therapies with a Robotic Architecture. MIE (2015)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Strategies for simulating pedestrian navigation with multiple reinforcement learning agents. Auton. Agents Multi Agent Syst. 29 (1) (2015)
Fernando Fernández, Moisés Martínez, Ismael García-Varea, Jesus Martínez-Gómez, José Manuel Pérez-Lorenzo, Raquel Viciana-Abad, Pablo Bustos, Luis Jesús Manso, Luis Calderita, M. Gutiérrez, Pedro Núñez Trujillo, Antonio Bandera, Adrián Romero-Garcés, Juan Pedro Bandera Rubio, Rebeca Marfil
Gualzru's Path to the Advertisement World. FinE-R@IROS (2015)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study. MABS (2014)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups. Simul. Model. Pract. Theory 47 (2014)
Javier García, Fernando Fernández
Safe Exploration of State and Action Spaces in Reinforcement Learning. CoRR (2014)
Antonio Jesús Palomino, Angel García Olaya, Fernando Fernández, Juan Pedro Bandera Rubio
From perception to action and vice versa: A new architecture showing how perception and action can modulate each other simultaneously. ECMR (2013)
Susana Fernández, Tomás de la Rosa, Fernando Fernández, Rubén Suárez, Javier Ortiz Laguna, Daniel Borrajo, David Manzano-Macho
Using automated planning for improving data mining processes. Knowl. Eng. Rev. 28 (2) (2013)
Víctor González-Pacheco, María Malfaz, Fernando Fernández, Miguel A. Salichs
Teaching Human Poses Interactively to a Social Robot. Sensors 13 (9) (2013)
Luis Calderita, Pablo Bustos, Cristina Suarez-Mejias, Fernando Fernández, Antonio Bandera
THERAPIST: Towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children. PervasiveHealth (2013)
Fernando Fernández, Manuela M. Veloso
Learning domain structure through probabilistic policy reuse in reinforcement learning. Prog. Artif. Intell. 2 (1) (2013)
Sergio Jiménez Celorrio, Fernando Fernández, Daniel Borrajo
Integrating Planning, Execution, and Learning to Improve Plan Execution. Comput. Intell. 29 (1) (2013)
Sergio Jiménez Celorrio, Tomás de la Rosa, Susana Fernández, Fernando Fernández, Daniel Borrajo
A review of machine learning for automated planning. Knowl. Eng. Rev. 27 (4) (2012)
Rocío García-Durán, Fernando Fernández, Daniel Borrajo
A prototype-based method for classification with time constraints: a case study on automated planning. Pattern Anal. Appl. 15 (3) (2012)
José Eloy Flórez, Javier Carbó, Fernando Fernández
A Meta-Tool to Support the Development of Knowledge Engineering Methodologies and Projects. Int. J. Softw. Eng. Knowl. Eng. 22 (8) (2012)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation. MIG (2012)
Javier González-Quijano, Mohamed Abderrahim, Fernando Fernández, Choukri Bensalah
A kinodynamic planning-learning algorithm for complex robot motor control. EAIS (2012)
Javier García, Fernando Fernández
Safe Exploration of State and Action Spaces in Reinforcement Learning. J. Artif. Intell. Res. 45 (2012)
Javier García, Fernando Borrajo, Fernando Fernández
Reinforcement Learning for Decision-Making in a Business Simulator. Int. J. Inf. Technol. Decis. Mak. 11 (5) (2012)
Rubén Suárez, Rocío García-Durán, Fernando Fernández
A Similarity Function with Local Feature Weighting for Structured Data. ESANN (2011)
Ezequiel Quintero, Vidal Alcázar, Daniel Borrajo, Juan Fernández-Olivares, Fernando Fernández, Angel García Olaya, Cesar Guzman, Eva Onaindia, David Prior
Autonomous Mobile Robot Control and Learning with the PELEA Architecture. Automated Action Planning for Autonomous Mobile Robots (2011)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation. ALA (2011)
Fernando Borrajo, Yolanda Bueno, Isidro de Pablo, Begoña Santos, Fernando Fernández, Javier García, Ismael Sagredo
SIMBA: A simulator for business education and research. Decis. Support Syst. 48 (3) (2010)
Francisco Martinez-Gil, Fernando Barber, Miguel Lozano, Francisco Grimaldo, Fernando Fernández
A Reinforcement Learning Approach for Multiagent Navigation. ICAART (1) (2010)
Fernando Fernández, Javier García, Manuela M. Veloso
Probabilistic Policy Reuse for inter-task transfer learning. Robotics Auton. Syst. 58 (7) (2010)
Javier García, Fernando Borrajo, Fernando Fernández
Learning Virtual Agents for Decision-Making in Business Simulators. MALLOW (2010)
Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. Appl. Intell. 31 (1) (2009)
Fernando Fernández, Daniel Borrajo, Susana Fernández, David Manzano-Macho
Assisting Data Mining through Automated Planning. MLDM (2009)
Iván López-Bueno, Javier García, Fernando Fernández
Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. IWANN (1) (2009)
Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems. Knowl. Based Syst. 22 (4) (2009)
Sergio Jiménez Celorrio, Fernando Fernández, Daniel Borrajo
The PELA Architecture: Integrating Planning and Learning to Improve Execution. AAAI (2008)
Fernando Fernández, Daniel Borrajo
Two steps reinforcement learning. Int. J. Intell. Syst. 23 (2) (2008)
Fernando Fernández, Pedro Isasi
Local Feature Weighting in Nearest Prototype Classification. IEEE Trans. Neural Networks 19 (1) (2008)
Rocío García-Durán, Fernando Fernández, Daniel Borrajo
Prototypes Based Relational Learning. AIMSA (2008)
Fernando Fernández, Pedro Isasi
Nearest prototype classification of noisy data. Artif. Intell. Rev. 30 (1-4) (2008)
Fernando Fernández, Manuela M. Veloso
Reusing and Building a Policy Library. ICAPS (2006)
Fernando Fernández, Manuela M. Veloso
Probabilistic policy reuse in a reinforcement learning agent. AAMAS (2006)
David Camacho, Fernando Fernández, Miguel A. Rodelgo
Roboskeleton: An architecture for coordinating robot soccer agents. Eng. Appl. Artif. Intell. 19 (2) (2006)
Rocío García-Durán, Fernando Fernández, Daniel Borrajo
Combining Macro-operators with Control Knowledge. ILP (2006)
Sergio Jiménez Celorrio, Fernando Fernández, Daniel Borrajo
Machine Learning of Plan Robustness Knowledge About Instances. ECML (2005)
Fernando Fernández, Daniel Borrajo, Lynne E. Parker
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains. J. Intell. Robotic Syst. 43 (2-4) (2005)
Fernando Fernández, Pedro Isasi
Evolutionary Design of Nearest Prototype Classifiers. J. Heuristics 10 (4) (2004)
Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Learning Content Sequencing in an Educational Environment According to Student Needs. ALT (2004)
Pedro Isasi, Fernando Fernández
Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. IWANN (1) (2003)
Ana Iglesias, Paloma Martínez, Fernando Fernández
An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System. Informatics Educ. 2 (2) (2003)
Agapito Ledezma, Fernando Fernández, Ricardo Aler
From Continuous Behaviour to Discrete Knowledge. IWANN (2) (2003)
Ana Iglesias, Paloma Martínez, Fernando Fernández
Navigating through the RLATES Interface: A Web-Based Adaptive and Intelligent Educational System. OTM Workshops (2003)
Fernando Fernández, Daniel Borrajo
On Determinism Handling While Learning Reduced State Space Representations. ECAI (2002)
Fernando Fernández, Pedro Isasi Viñuela
Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. Comput. Artif. Intell. 21 (3) (2002)
Ana Iglesias, Paloma Martínez, Dolores Cuadra, Elena Castro, Fernando Fernández
Learning to Teach Database Design by Trial and Error. ICEIS (2002)
Fernando Fernández, Pedro Isasi
Designing nearest neighbour classifiers by the evolution of a population of prototypes. ESANN (2001)
Fernando Fernández, Daniel Borrajo
VQQL. Applying Vector Quantization to Reinforcement Learning. RoboCup (1999)