VQQL. Applying Vector Quantization to Reinforcement Learning. - Fernando Fernández 001; Daniel Borrajo (RoboCup, 1999)

Designing nearest neighbour classifiers by the evolution of a population of prototypes. - Fernando Fernández 001; Pedro Isasi (ESANN, 2001)

On Determinism Handling While Learning Reduced State Space Representations. - Fernando Fernández 001; Daniel Borrajo (ECAI, 2002)

Learning to Teach Database Design by Trial and Error. - Ana Iglesias 001; Paloma Martínez; Dolores Cuadra; Elena Castro; Fernando Fernández 001 (ICEIS, 2002)

Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. - Fernando Fernández 001; Pedro Isasi Viñuela (Comput. Artif. Intell., 2002)

Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. - Pedro Isasi; Fernando Fernández 001 (IWANN (1), 2003)

From Continuous Behaviour to Discrete Knowledge. - Agapito Ledezma; Fernando Fernández 001; Ricardo Aler (IWANN (2), 2003)

Navigating through the RLATES Interface: A Web-Based Adaptive and Intelligent Educational System. - Ana Iglesias 001; Paloma Martínez; Fernando Fernández 001 (OTM Workshops, 2003)

An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System. - Ana Iglesias 001; Paloma Martínez; Fernando Fernández 001 (Informatics Educ., 2003)

Learning Content Sequencing in an Educational Environment According to Student Needs. - Ana Iglesias 001; Paloma Martínez; Ricardo Aler; Fernando Fernández 001 (ALT, 2004)

Evolutionary Design of Nearest Prototype Classifiers. - Fernando Fernández 001; Pedro Isasi (J. Heuristics, 2004)

Machine Learning of Plan Robustness Knowledge About Instances. - Sergio Jiménez Celorrio; Fernando Fernández 001; Daniel Borrajo (ECML, 2005)

A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains. - Fernando Fernández 001; Daniel Borrajo; Lynne E. Parker (J. Intell. Robotic Syst., 2005)

Reusing and Building a Policy Library. - Fernando Fernández 001; Manuela M. Veloso (ICAPS, 2006)

Probabilistic policy reuse in a reinforcement learning agent. - Fernando Fernández 001; Manuela M. Veloso (AAMAS, 2006)

Combining Macro-operators with Control Knowledge. - Rocío García-Durán; Fernando Fernández 001; Daniel Borrajo (ILP, 2006)

Roboskeleton: An architecture for coordinating robot soccer agents. - David Camacho; Fernando Fernández 001; Miguel A. Rodelgo (Eng. Appl. Artif. Intell., 2006)

The PELA Architecture: Integrating Planning and Learning to Improve Execution. - Sergio Jiménez Celorrio; Fernando Fernández 001; Daniel Borrajo (AAAI, 2008)

Prototypes Based Relational Learning. - Rocío García-Durán; Fernando Fernández 001; Daniel Borrajo (AIMSA, 2008)

Nearest prototype classification of noisy data. - Fernando Fernández 001; Pedro Isasi (Artif. Intell. Rev., 2008)

Two steps reinforcement learning. - Fernando Fernández 001; Daniel Borrajo (Int. J. Intell. Syst., 2008)

Local Feature Weighting in Nearest Prototype Classification. - Fernando Fernández 001; Pedro Isasi (IEEE Trans. Neural Networks, 2008)

Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. - Iván López-Bueno; Javier García 001; Fernando Fernández 001 (IWANN (1), 2009)

Assisting Data Mining through Automated Planning. - Fernando Fernández 001; Daniel Borrajo; Susana Fernández; David Manzano-Macho (MLDM, 2009)

Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. - Ana Iglesias 001; Paloma Martínez; Ricardo Aler; Fernando Fernández 001 (Appl. Intell., 2009)

Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems. - Ana Iglesias 001; Paloma Martínez; Ricardo Aler; Fernando Fernández 001 (Knowl. Based Syst., 2009)

A Reinforcement Learning Approach for Multiagent Navigation. - Francisco Martinez-Gil; Fernando Barber; Miguel Lozano 001; Francisco Grimaldo 001; Fernando Fernández 001 (ICAART (1), 2010)

Learning Virtual Agents for Decision-Making in Business Simulators. - Javier García 001; Fernando Borrajo; Fernando Fernández 001 (MALLOW, 2010)

SIMBA: A simulator for business education and research. - Fernando Borrajo; Yolanda Bueno; Isidro de Pablo; Begoña Santos; Fernando Fernández 001; Javier García 001; Ismael Sagredo-Olivenza (Decis. Support Syst., 2010)

Probabilistic Policy Reuse for inter-task transfer learning. - Fernando Fernández 001; Javier García 001; Manuela M. Veloso (Robotics Auton. Syst., 2010)

Autonomous Mobile Robot Control and Learning with the PELEA Architecture. - Ezequiel Quintero; Vidal Alcázar; Daniel Borrajo; Juan Fernández-Olivares; Fernando Fernández 001; Angel García Olaya; Cesar Guzman; Eva Onaindia; David Prior (Automated Action Planning for Autonomous Mobile Robots, 2011)

Safe reinforcement learning in high-risk tasks through policy improvement. - Francisco Javier García-Polo; Fernando Fernández Rebollo (ADPRL, 2011)

Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (ALA, 2011)

A Similarity Function with Local Feature Weighting for Structured Data. - Rubén Suárez; Rocío García-Durán; Fernando Fernández 001 (ESANN, 2011)

A kinodynamic planning-learning algorithm for complex robot motor control. - Javier González-Quijano; Mohamed Abderrahim 001; Fernando Fernández 001; Choukri Bensalah (EAIS, 2012)

Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (MIG, 2012)

Reinforcement Learning for Decision-Making in a Business Simulator. - Javier García 001; Fernando Borrajo; Fernando Fernández 001 (Int. J. Inf. Technol. Decis. Mak., 2012)

A Meta-Tool to Support the Development of Knowledge Engineering Methodologies and Projects. - José Eloy Flórez; Javier Carbó; Fernando Fernández 001 (Int. J. Softw. Eng. Knowl. Eng., 2012)

Safe Exploration of State and Action Spaces in Reinforcement Learning. - Javier García 001; Fernando Fernández 001 (J. Artif. Intell. Res., 2012)

A review of machine learning for automated planning. - Sergio Jiménez Celorrio; Tomás de la Rosa; Susana Fernández; Fernando Fernández 001; Daniel Borrajo (Knowl. Eng. Rev., 2012)

A prototype-based method for classification with time constraints: a case study on automated planning. - Rocío García-Durán; Fernando Fernández 001; Daniel Borrajo (Pattern Anal. Appl., 2012)

From perception to action and vice versa: A new architecture showing how perception and action can modulate each other simultaneously. - Antonio Jesús Palomino; Angel García Olaya; Fernando Fernández 001; Juan Pedro Bandera Rubio (ECMR, 2013)

THERAPIST: Towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children. - Luis Calderita; Pablo Bustos; Cristina Suarez-Mejias; Fernando Fernández 001; Antonio Bandera (PervasiveHealth, 2013)

Integrating Planning, Execution, and Learning to Improve Plan Execution. - Sergio Jiménez Celorrio; Fernando Fernández 001; Daniel Borrajo (Comput. Intell., 2013)

Using automated planning for improving data mining processes. - Susana Fernández; Tomás de la Rosa; Fernando Fernández 001; Rubén Suárez; Javier Ortiz Laguna; Daniel Borrajo; David Manzano-Macho (Knowl. Eng. Rev., 2013)

Learning domain structure through probabilistic policy reuse in reinforcement learning. - Fernando Fernández 001; Manuela M. Veloso (Prog. Artif. Intell., 2013)

Teaching Human Poses Interactively to a Social Robot. - Víctor González-Pacheco; María Malfaz; Fernando Fernández 001; Miguel A. Salichs (Sensors, 2013)

Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (MABS, 2014)

MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (Simul. Model. Pract. Theory, 2014)

Gualzru's Path to the Advertisement World. - Fernando Fernández 001; 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; et al. (FinE-R@IROS, 2015)

Planning, Execution and Monitoring of Physical Rehabilitation Therapies with a Robotic Architecture. - José Carlos González; José Carlos Pulido; Fernando Fernández 001; Cristina Suarez-Mejias (MIE, 2015)

Therapy Monitoring and Patient Evaluation with Social Robots. - Alejandro Martín; José Carlos González; José Carlos Pulido; Angel García Olaya; Fernando Fernández 001; Cristina Suarez (REHAB, 2015)

Strategies for simulating pedestrian navigation with multiple reinforcement learning agents. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (Auton. Agents Multi Agent Syst., 2015)

A comprehensive survey on safe reinforcement learning. - Javier García 001; Fernando Fernández 001 (J. Mach. Learn. Res., 2015)

The IBaCoP Planning System: Instance-Based Configured Portfolios. - Isabel Cenamor; Tomás de la Rosa; Fernando Fernández 001 (J. Artif. Intell. Res., 2016)

Planning and execution through variable resolution planning. - Moisés Martínez; Fernando Fernández 001; Daniel Borrajo (Robotics Auton. Syst., 2016)

Performance Modelling of Planners from Homogeneous Problem Sets. - Tomás de la Rosa; Isabel Cenamor; Fernando Fernández 001 (ICAPS, 2017)

LifeBots I: Building the Software Infrastructure for Supporting Lifelong Technologies. - Antonio Bandera; Juan Pedro Bandera Rubio; Pablo Bustos; Fernando Fernández 001; Angel García Olaya; Javier García-Polo; Ismael García-Varea; Luis Jesús Manso; Rebeca Marfil; Jesus Martínez-Gómez; Pedro Núñez; José Manuel Pérez-Lorenzo; et al. (ROBOT (1), 2017)

Enhancing a Robotic Rehabilitation Model for Hand-Arm Bimanual Intensive Therapy. - Enrique García Estévez; Irene Díaz Portales; José Carlos Pulido; Raquel Fuentetaja 001; Fernando Fernández 001 (ROBOT (1), 2017)

CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios. - Dimitri Voilmy; Cristina Suarez; Adrián Romero-Garcés; Cristian Reuther; José Carlos Pulido; Rebeca Marfil; Luis Jesús Manso; Karine Lan Hing Ting; Ana Iglesias 001; José Carlos González; Javier García 001; Angel García Olaya; et al. (ROBOT (1), 2017)

A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots. - José Carlos González; José Carlos Pulido; Fernando Fernández 001 (Cogn. Syst. Res., 2017)

Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review. - Francisco Martinez-Gil; Miguel Lozano 001; Ignacio García-Fernández; Fernando Fernández 001 (ACM Comput. Surv., 2017)

Evaluating the Child-Robot Interaction of the NAOTherapist Platform in Pediatric Rehabilitation. - José Carlos Pulido; José Carlos González; Cristina Suarez-Mejias; Antonio Bandera; Pablo Bustos; Fernando Fernández 001 (Int. J. Soc. Robotics, 2017)

Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (Simul. Model. Pract. Theory, 2017)

Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: updating the CLARC system. - Jesús Martínez; Adrián Romero-Garcés; Cristina Suarez; Rebeca Marfil; Karine Lan Hing Ting; Ana Iglesias 001; Javier García 001; Fernando Fernández 001; Alvaro Dueñas-Ruiz; Luis V. Calderita; Antonio Bandera; Juan Pedro Bandera Rubio (RO-MAN, 2018)

Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot. - Angel García Olaya; Raquel Fuentetaja 001; Javier García-Polo; José Carlos González; Fernando Fernández 001 (WAF, 2018)

On-Line Case-Based Policy Learning for Automated Planning in Probabilistic Environments. - Moisés Martínez; Javier García 001; Fernando Fernández 001 (Int. J. Inf. Technol. Decis. Mak., 2018)

Design of a Robotic as a Service Platform to Perform Rehabilitation Therapies. - Adrián Gallego; José Carlos Pulido; José Carlos González; Fernando Fernández 001 (ROBOT (2), 2019)

A Modelling and Formalisation Tool for Use Case Design in Social Autonomous Robotics. - Alba Gragera; Alba María García; Fernando Fernández 001 (ROBOT (2), 2019)

Reinforcement learning for pricing strategy optimization in the insurance industry. - Elena Krasheninnikova; Javier García 001; Roberto Maestre; Fernando Fernández 001 (Eng. Appl. Artif. Intell., 2019)

Developing a Robot-Guided Interactive Simon Game for Physical and Cognitive Training. - Misra Turp; José Carlos González; José Carlos Pulido; Fernando Fernández 001 (Int. J. Humanoid Robotics, 2019)

A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation: A Longitudinal Study With Pediatric Patients. - 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 001 (IEEE Robotics Autom. Mag., 2019)

Probabilistic Policy Reuse for Safe Reinforcement Learning. - Javier García 001; Fernando Fernández 001 (ACM Trans. Auton. Adapt. Syst., 2019)

Multi-Layered Multi-Robot Control Architecture for the Robocup Logistics League. - José Carlos González; Angel García Olaya; Fernando Fernández 001 (ICARSC, 2020)

Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics. - Rebeca Marfil; Adrián Romero-Garcés; Juan Pedro Bandera Rubio; Luis J. Manso; Luis V. Calderita; Pablo Bustos; Antonio Bandera; Javier García-Polo; Fernando Fernández 001; Dimitri Voilmy (Cogn. Comput., 2020)

Learning adversarial attack policies through multi-objective reinforcement learning. - Javier García 001; Rubén Majadas; Fernando Fernández 001 (Eng. Appl. Artif. Intell., 2020)

An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics. - Raquel Fuentetaja 001; Angel García Olaya; Javier García 001; José Carlos González; Fernando Fernández 001 (Sensors, 2020)

Deep Q-learning market makers in a multi-agent simulated stock market. - Oscar Fernández Vicente; Fernando Fernández Rebollo; Francisco Javier García-Polo (ICAIF, 2021)

Probabilistic Multi-knowledge Transfer in Reinforcement Learning. - Daniel Fernández; Fernando Fernández 001; Javier García 001 (ICMLA, 2021)

Disturbing Reinforcement Learning Agents with Corrupted Rewards. - Rubén Majadas; Javier García 001; Fernando Fernández 001 (CoRR, 2021)

A Taxonomy of Similarity Metrics for Markov Decision Processes. - Álvaro Visús; Javier García 001; Fernando Fernández 001 (CoRR, 2021)

Similarity metrics for Different Market Scenarios in Abides. - Diego Pino; Javier García 001; Fernando Fernández 001; Svitlana Vyetrenko (CoRR, 2021)

Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework. - Ana Iglesias 001; Javier García 001; Angel García Olaya; Raquel Fuentetaja 001; Fernando Fernández 001; Adrián Romero-Garcés; Rebeca Marfil; Antonio Bandera; Karine Lan Hing Ting; Dimitri Voilmy; Alvaro Dueñas-Ruiz; Cristina Suárez-Mejías (IEEE Trans. Hum. Mach. Syst., 2021)

A taxonomy for similarity metrics between Markov decision processes. - Javier García 001; Álvaro Visús; Fernando Fernández 001 (Mach. Learn., 2022)

A Planning Approach to Repair Domains with Incomplete Action Effects. - Alba Gragera; Raquel Fuentetaja 001; Ángel García Olaya; Fernando Fernández 001 (ICAPS, 2023)

Accessibility Evaluation of an Assistive Social Robotic Platform for Rehabilitation and Its Improvement by Means of Haptic Devices. - Ana Iglesias 001; Fernando Fernández 001; José Carlos Pulido; Carmen Díaz; Malak Qbilat; Amy Pavel (CENTERIS/ProjMAN/HCist, 2023)

Automated market maker inventory management with deep reinforcement learning. - Oscar Fernández Vicente; Fernando Fernández 001; Javier García 001 (Appl. Intell., 2023)

Discrete Uncertainty Quantification For Offline Reinforcement Learning. - José Luis Pérez; Javier Corrochano; Javier García 001; Rubén Majadas; Cristina Ibáñez-Llano; Sergio Pérez 002; Fernando Fernández 001 (J. Artif. Intell. Soft Comput. Res., 2023)

Clustering-based attack detection for adversarial reinforcement learning. - Rubén Majadas; Javier García-Polo; Fernando Fernández 001 (Appl. Intell., 2024)

A gamified social robotics platform for intensive therapies in neurorehabilitation. - José Carlos Pulido; Raquel Fuentetaja 001; Enrique García; Melania García; Vanesa Abuín; José Carlos González; Ana Iglesias 001; Fernando Fernández 001 (Intell. Serv. Robotics, 2024)

Dataset Reduction for Offline Reinforcement Learning using Genetic Algorithms with Image-Based Heuristics. - Enrique Mateos-Melero; Miguel Iglesias Alcázar; Raquel Fuentetaja 001; Fernando Fernández 001 (GECCO, 2025)

Where is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging Stations Topology. - Enrique Mateos-Melero; Javier Moralejo-Piñas; Ángela Durán-Pinto; Francisco Martinez-Gil; María Soriano; Fernando Fernández 001 (AAMAS, 2025)

Towards a No Code Deployment of Social Robotics Use Cases. - Alba Gragera; Carmen Díaz-de-mera; Juan Pedro Bandera Rubio; Angel García Olaya; Fernando Fernández 001 (Expert Syst. J. Knowl. Eng., 2025)

Policy weighting via discounted Thomson sampling for non-stationary market-making. - Oscar Fernández Vicente; Javier García 001; Fernando Fernández 001 (Artif. Intell. Rev., 2025)

Optimizing market-making strategies: A multi-objective reinforcement learning approach with pareto fronts. - Oscar Fernández Vicente; Javier García 001; Fernando Fernández 001 (Expert Syst. Appl., 2026)