Publications

2026

• Óscar Fernández Vicente, Javier García and Fernando Fernández.
  Optimizing market-making strategies: A multi-objective reinforcement learning approach with pareto fronts.
  Expert Systems with Applications 295. 2026.
  citation

2025

• Javier Moralejo-Piñas, Francisco Martínez-Gil, María Soriano Santacruz and Fernando Fernández.
  Electric vehicle market dynamics: A multi-agent approach to policy, infrastructure, and consumer behavior.
  Energy Policy 206, pp. 114800. 2025.
  paper citation

• Mauricio Salerno, Raquel Fuentetaja, David Speck and Jendrik Seipp.
  Merging Cartesian Abstractions for Classical Planning.
  In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025). 2025.
  paper code citation

• Mauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
  Finding Minimal Plan Reductions Using Classical Planning.
  Journal of Artificial Intelligence Research . 2025.
  paper code citation

• Elliot Gestrin, Gustaf Söderholm, Paul Höft, Mauricio Salerno, Jendrik Seipp and Daniel Gnad.
  Explainable Planning via Counterfactual Task Analysis for the Beluga Challenge and Beyond.
  In ICAPS 2025 Workshop on Human-Aware and Explainable Planning. 2025.
  paper citation

• Martín Pozo and Jendrik Seipp.
  Abstraction Heuristics for Classical Planning Tasks with Conditional Effects.
  In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), pp. 8608–8616. 2025.
  paper citation

• Enrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja and Fernando Fernández.
  Dataset Reduction for Offline Reinforcement Learning using Genetic Algorithms with Image-Based Heuristics.
  In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 416–424. 2025.
  paper citation

• Enrique Mateos-Melero, Javier Moralejo-Piñas, Francisco Martínez-Gil, María Soriano and Fernando Fernández.
  Evolutionary Optimization of the Gas/Charging Stations Topology for the Electric Vehicle Market.
  In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 867–870. 2025.
  paper citation

• Enrique Mateos-Melero.
  Efficient Offline Reinforcement Learning Through Dataset Characterization and Reduction.
  In Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, pp. 2950–2952. 2025.
  paper citation

• Enrique Mateos-Melero, Javier Moralejo-Piñas, Angela Durán-Pinto, Francisco Martínez-Gil, María Soriano and Fernando Fernández.
  Where is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging Stations Topology.
  In Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, pp. 2666–2668. 2025.
  paper citation

• Alba Gragera, Angel Garcia-Olaya and Fernando Fernández.
  On the Combination of Classical Knowledge Engineering Tools and LLMs to Build Automated Planning Models.
  International journal of software engineering and knowledge engineering 35. 2025.
  citation

• Alba Gragera, Carmen Díaz-De-Mera, Juan Pedro Bandera, Angel Garcia-Olaya and Fernando Fernández.
  Towards a No Code Deployment of Social Robotics Use Cases.
  Expert Systems 42, pp. e70038. 2025.
  paper citation

• Mauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
  Finding Minimal Plan Reductions Using Classical Planning.
  Journal of Artificial Intelligence Research 84. 2025.
  citation

• Óscar Fernández Vicente, Javier García and Fernando Fernández.
  Policy weighting via discounted Thomson sampling for non-stationary market-making.
  Artificial Intelligence Review 58. 2025.
  citation

• Alba Gragera, Raquel Fuentetaja, Angel García-Olaya and Fernando Fernández.
  On the Gains from Using Action Observations in Domain Repair.
  In Proceedings of the Thirty-Fifth International Conference on Automated Planning and Scheduling (ICAPS 2025), pp. 343 – 347. 2025.
  citation

• Michael Barley, Natasha de Kriek, Santiago Franco, Angel García-Olaya, Tim Hartill, Christopher Triggs, Henry Zwart, Vidal Alcázar and Patricia Riddle.
  A Problem with the Current Methodology for Comparing Search Algorithms and a Proposed Solution.
  In The International Symposium on Combinatorial Search, pp. 29 – 37. 2025.
  citation

• Angel García-Olaya, Patricia Riddle and Michael Barley.
  Strategies to Improve Goal Selection in Satisficing Oversubscription Planning.
  In Proceedings of the Thirty-Fifth International Conference on Automated Planning and Scheduling (ICAPS 2025), pp. 223 – 227. 2025.
  citation

• Victor Radermecker, Andrea Zanon, Nancy Thomas, Annita Vapsi, Saba Rahimi, Rama Ramakrishnan and Daniel Borrajo.
  Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline for Predictive Modeling With the Dynamic World Dataset.
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18, pp. 6440 – 6450. 2025.
  citation

• Andrés Munoz, Nancy Thomas, Annita Vapsi and Daniel Borrajo.
  Veri-Car: towards open-world vehicle information retrieval.
  Neural Computing and Applications 37, pp. 15183 – 15221. 2025.
  citation

• Sumitra Ganesh, Leo Ardon, Daniel Borrajo, Deepeka Garg, Udari Madhushani Sehwag, Annapoorani Lakshmi Narayanan, Giuseppe Canonaco and Manuela M. Veloso.
  Generative AI Agents for Knowledge Work Augmentation in Finance.
  Annual Review of Control, Robotics, and Autonomous Systems 8, pp. 189 – 210. 2025.
  citation

2024

• Enrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja, Peter Stone and Fernando Fernández.
  Image-based Dataset Representations for Predicting Learning Performance in Offline RL.
  In . 2024.
  paper citation

• Martín Pozo, Álvaro Torralba and Carlos Linares López.
  Gotta Catch 'Em All! Sequence Flaws in CEGAR for Classical Planning.
  In Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024), pp. 4287–4294. 2024.
  paper citation

• Carlos Linares López and Ian Herman.
  Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended Version).
  In . 2024.
  paper citation

• Martín Pozo, Álvaro Torralba and Carlos Linares López.
  When CEGAR Meets Regression: A Love Story in Optimal Classical Planning.
  In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), pp. 20238–20246. 2024.
  paper citation

• Jose Carlos Pulido, Raquel Fuentetaja, Enrique García, Melania García, Vanesa Abuín, Jose Carlos González, Ana Iglesias and Fernando Fernández.
  A gamified social robotics platform for intensive therapies in neurorehabilitation.
  Intelligent Service Robotics 17, pp. 419 – 443. 2024.
  paper citation

• Rubén Majadas, Javier García and Fernando Fernández.
  Clustering-based attack detection for adversarial reinforcement learning.
  Applied Intelligence 54, pp. 2631 – 2647. 2024.
  paper citation

• Ana Iglesias, Fernando Fernández, Jose Carlos Pulido, Carmen Diaz, Malak Qbilat and Amy Pavel.
  Accessibility Evaluation of an Assistive Social Robotic Platform for Rehabilitation and Its Improvement by Means of Haptic Devices.
  In Procedia Computer Science, pp. 1516 – 1523. 2024.
  citation

• Carlos Linares López and Ian Herman.
  Evolving A* to Efficiently Solve the κ Shortest-Path Problem.
  Frontiers in Artificial Intelligence and Applications 392, pp. 4352 – 4359. 2024.
  citation

• Sofia Lemons, Wheeler Ruml, Rob Holte and Carlos Linares López.
  Rectangle Search: An Anytime Beam Search.
  In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), pp. 20751 – 20758. 2024.
  citation

• Martín Pozo, Álvaro Torralba and Carlos Linares López.
  When CEGAR Meets Regression: A Love Story in Optimal Classical Planning.
  In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), pp. 20238 – 20246. 2024.
  citation

• Martín Pozo, Álvaro Torralba and Carlos Linares López.
  Gotta Catch'Em All! Sequence Flaws in CEGAR for Classical Planning.
  Frontiers in Artificial Intelligence and Applications 392, pp. 4287 – 4294. 2024.
  citation

• Alberto Pozanco, Álvaro Torralba and Daniel Borrajo.
  Computing Planning Centroids and Minimum Covering States Using Symbolic Bidirectional Search.
  In Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (ICAPS 2024), pp. 455 – 463. 2024.
  citation

• Parisa Zehtabi, Alberto Pozanco, Ayala Bloch, Daniel Borrajo and Sarit Kraus.
  Contrastive Explanations of Centralized Multi-agent Optimization Solutions.
  In Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (ICAPS 2024), pp. 671 – 679. 2024.
  citation

• Guiling Wang and Daniel Borrajo.
  KDD 2024 Finance Day.
  In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 6701 – 6702. 2024.
  citation

• Alberto Pozanco, Ramon Fraga Pereira and Daniel Borrajo.
  Generalising Planning Environment Redesign.
  In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), pp. 20230 – 20237. 2024.
  citation

• Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch and Manuela Veloso.
  Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-Processing Matters.
  In International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7746 – 7751. 2024.
  paper citation

2023

• Mauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
  Eliminating Redundant Actions from Plans using Classical Planning.
  In Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), pp. 774–778. 2023.
  paper code citation

• Mauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
  Spock: Fast Downward Stone Soup with Redundant Action Elimination.
  In Tenth International Planning Competition (IPC-10): Planner Abstracts. 2023.
  paper citation

• Mauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
  Eliminating Redundant Actions from Plans Using Classical Planning.
  In Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning, pp. 774–778. 2023.
  paper citation

• Jose Luis Pérez, Javier Corrochano, Javier García, Rubén Majadas, Cristina Ibañez-Llano, Sergio Pérez and Fernando Fernández.
  DISCRETE UNCERTAINTY QUANTIFICATION FOR OFFLINE REINFORCEMENT LEARNING.
  Journal of Artificial Intelligence and Soft Computing Research 13, pp. 273 – 287. 2023.
  paper citation

• Óscar Fernández Vicente, Fernando Fernández and Javier García.
  Automated market maker inventory management with deep reinforcement learning.
  Applied Intelligence 53, pp. 22249 – 22266. 2023.
  paper citation

• Alba Gragera, Raquel Fuentetaja, Angel García-Olaya and Fernando Fernández.
  A Planning Approach to Repair Domains with Incomplete Action Effects.
  In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS 2023), pp. 153 – 161. 2023.
  citation

• Luis Santiago Martín, Mónica Alonso, Hortensia Amarís, Raquel Fuentetaja, Beatriz Lopez, David Martin and Jose Antonio Iglesias.
  Electric Ambulance Routing Based on Heuristic Cost-Based Planners in Pandemic Situations.
  Smart Innovation, Systems and Technologies 351, pp. 395 – 406. 2023.
  citation

• Keshav Ramani and Daniel Borrajo.
  Methods for matching English language addresses.
  Transactions in GIS 27, pp. 347 – 363. 2023.
  citation

• Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo and Jundong Li.
  A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
  In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 4584 – 4594. 2023.
  citation

• Andrea Coletta, Sriram Gopalakrishan, Svitlana Vyetrenko and Daniel Borrajo.
  On the Constrained Time-Series Generation Problem.
  In Advances in Neural Information Processing Systems. 2023.
  citation

• Alberto Pozanco, Daniel Borrajo and Manuela Veloso.
  Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation.
  Frontiers in Artificial Intelligence and Applications 372, pp. 1898 – 1905. 2023.
  citation

• Alberto Pozanco, Kassiani Papasotiriou, Daniel Borrajo and Manuela Veloso.
  Combining Heuristic Search and Linear Programming to Compute Realistic Financial Plans.
  In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS 2023), pp. 527 – 531. 2023.
  citation

2022

• Mauricio Salerno and Raquel Fuentetaja.
  Elimination of Unnecessary Actions from Plans Using Automated Planning.
  , pp. 8. 2022.
  citation

• Mauricio Salerno, Miguel Tabernero, Raquel Fuentetaja and Alberto Pozanco.
  Filtering Top-k Relevant Plans.
  , pp. 17. 2022.
  citation

• Alba Gragera, Carmen Díaz-De-Mera, Alberto Tudela, Alejandro Cruces, Fernando Fernández and Angel Garcia-Olaya.
  Towards an Easy Use Case Implementation in Social Robotics.
  , pp. 9. 2022.
  paper citation

• Javier García, Álvaro Visús and Fernando Fernández.
  A taxonomy for similarity metrics between Markov decision processes.
  Machine Learning 111, pp. 4217 – 4247. 2022.
  paper citation

• Dimitri Voilmy, Karine Lan Hing Ting, Ana Iglesias, Rebeca Marfil, Juan Pedro Bandera, Fernando Fernández and Quitterie de Roll.
  Robotic geriatric assistant: A pilot assessment in a real-world hospital.
  Unknown bibtex type book 2022.
  citation

• Sofia Lemons, Carlos Linares López, Robert C. Holte and Wheeler Ruml.
  Beam Search: Faster and Monotonic.
  In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 222 – 230. 2022.
  citation

• Sriram Gopalakrishnan and Daniel Borrajo.
  Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution.
  In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 119 – 123. 2022.
  citation

• Aviram Aviv, Yaniv Oshrat, Samuel Assefa, Toby Mustapha, Daniel Borrajo, Manuela Veloso and Sarit Kraus.
  Advising Agent for Service-Providing Live-Chat Operators.
  In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, pp. 1527 – 1529. 2022.
  citation

2021

• Mauricio Salerno, Yolanda E-Martín, Raquel Fuentetaja, Alba Gragera, Alberto Pozanco and Daniel Borrajo.
  Train Route Planning as a Multi-Agent Path Finding Problem.
  In Conference of the Spanish Association for Artificial Intelligence, pp. 237–246. 2021.
  paper citation

• Óscar Fernández Vicente, Fernando Fernández and Francisco Javier García Polo.
  Deep Q-learning market makers in a multi-agent simulated stock market.
  In ICAIF 2021 - 2nd ACM International Conference on AI in Finance. 2021.
  citation

• Ana Iglesias, Javier García, Angel García-Olaya, Raquel Fuentetaja, Fernando Fernández, Adrian Romero-Garces, Rebeca Marfil, Antonio Bandera, Karine Lan Hing Ting, Dimitri Voilmy, Alvaro Duenas and Cristina Suarez-Mejias.
  Extending the Evaluation of Social Assistive Robots with Accessibility Indicators: The AUSUS Evaluation Framework.
  IEEE Transactions on Human-Machine Systems 51, pp. 601 – 612. 2021.
  citation

• Daniel Fernandez, Fernando Fernández and Javier García.
  Probabilistic Multi-knowledge Transfer in Reinforcement Learning.
  In Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, pp. 471 – 476. 2021.
  citation

• Alberto Pozanco, Susana Fernández and Daniel Borrajo.
  On-line modelling and planning for urban traffic control.
  Expert Systems 38. 2021.
  citation

• Angel García-Olaya, Tomás de la Rosa and Daniel Borrajo.
  Selecting goals in oversubscription planning using relaxed plans.
  Artificial Intelligence 291. 2021.
  citation

• Manuela Veloso, Tucker Balch, Daniel Borrajo, Prashant Reddy and Sameena Shah.
  Artificial intelligence research in finance: Discussion and examples.
  Oxford Review of Economic Policy 37, pp. 564 – 584. 2021.
  citation

• Daniel Borrajo and Manuela Veloso.
  Intelligent Execution through Plan Analysis.
  In IEEE International Conference on Intelligent Robots and Systems, pp. 3162 – 3167. 2021.
  citation

• Daniel Borrajo and Manuela Veloso.
  Computing Opportunities to Augment Plans for Novel Replanning during Execution.
  In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling (ICAPS 2021), pp. 51 – 55. 2021.
  citation

2020

• Javier García, Rubén Majadas and Fernando Fernández.
  Learning adversarial attack policies through multi-objective reinforcement learning.
  Engineering Applications of Artificial Intelligence 96. 2020.
  citation

• Raquel Fuentetaja, Angel García-Olaya, Javier García, Jose Carlos González and Fernando Fernández.
  An automated planning model for hri: Use cases on social assistive robotics.
  Sensors 20, pp. 1 – 19. 2020.
  citation

• Adrián Gallego, Jose Carlos Pulido, Jose Carlos González and Fernando Fernández.
  Design of a Robotic as a Service Platform to Perform Rehabilitation Therapies.
  Advances in Intelligent Systems and Computing 1093 AISC, pp. 681 – 692. 2020.
  citation

• Alba Gragera, Alba María García and Fernando Fernández.
  A Modelling and Formalisation Tool for Use Case Design in Social Autonomous Robotics.
  Advances in Intelligent Systems and Computing 1093 AISC, pp. 656 – 667. 2020.
  citation

• Grace Bang, Guy Barash, Ryan Bea, Jacques Cali, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Michel Galley, Christopher Geib, José Hernández-Orallo, Xiaowei Huang, Sarah Keren, Seokhwan Kim, Kokil Jaidka, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó. Héigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Arash Shaban-Nejad, Onn Shehory, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Dell Zhang and Jian Zhang.
  The association for the advancement of artificial intelligence 2020 workshop program.
  AI Magazine 41, pp. 100 – 114. 2020.
  citation

• Nerea Luis, Susana Fernández and Daniel Borrajo.
  Plan merging by reuse for multi-agent planning.
  Applied Intelligence 50, pp. 365 – 396. 2020.
  paper citation

• Nerea Luis, Tiago Pereira, Susana Fernández, António Moreira, Daniel Borrajo and Manuela Veloso.
  Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning.
  Journal of Intelligent and Robotic Systems: Theory and Applications 98, pp. 165 – 190. 2020.
  paper citation

• Alejandro Martín, José C. Pulido, José C. González, Angel García-Olaya and Cristina Suárez.
  A framework for user adaptation and profiling for social robotics in rehabilitation.
  Sensors 20, pp. 1 – 23. 2020.
  citation

• Daniel Borrajo, Manuela Veloso and Sameena Shah.
  Simulating and classifying behavior in adversarial environments based on action-state traces: An application to money laundering.
  In ICAIF 2020 - 1st ACM International Conference on AI in Finance. 2020.
  citation

2019

• Mlsra Turp, Jose Carlos González, Jose Carlos Pulido and Fernando Fernández.
  Developing a robot-guided interactive simon game for physical and cognitive training.
  International Journal of Humanoid Robotics 16. 2019.
  citation

• Javier García and Fernando Fernández.
  Probabilistic policy reuse for safe reinforcement learning.
  ACM Transactions on Autonomous and Adaptive Systems 13. 2019.
  citation

• Elena Krasheninnikova, Javier García, Roberto Maestre and Fernando Fernández.
  Reinforcement learning for pricing strategy optimization in the insurance industry.
  Engineering Applications of Artificial Intelligence 80, pp. 8 – 19. 2019.
  citation

• Jose Carlos Pulido, Cristina Suarez-Mejias, Jose Carlos González, Alvaro Duenas Ruiz, Patricia Ferrand Ferri, Maria Encarnacion Martinez Sahuquillo, Carmen Echevarria Ruiz De Vargas, Pedro Infante-Cossio, Carlos Luis Parra Calderon and Fernando Fernández.
  A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation: A Longitudinal Study with Pediatric Patients.
  IEEE Robotics and Automation Magazine 26, pp. 24 – 39. 2019.
  citation

• Angel García-Olaya, Raquel Fuentetaja, Javier García, Jose Carlos González and Fernando Fernández.
  Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot.
  Advances in Intelligent Systems and Computing 855, pp. 179 – 194. 2019.
  citation

• Blai Bonet, Raquel Fuentetaja, Yolanda E-Martín and Daniel Borrajo.
  Guarantees for sound abstractions for generalized planning.
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 1566 – 1573. 2019.
  paper citation

• Daniel Borrajo and Susana Fernández.
  Efficient approaches for multi-agent planning.
  The Knowledge and Information Systems 58, pp. 425 – 479. 2019.
  paper citation

• Alberto Pozanco, Yolanda E-Martín, Susana Fernández and Daniel Borrajo.
  Finding centroids and minimum covering states in planning.
  In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling (ICAPS 2019), pp. 348 – 352. 2019.
  citation

• Robert C. Holte, Ruben Majadas, Alberto Pozanco and Daniel Borrajo.
  Error analysis and correction for weighted A∗'s suboptimality.
  In Proceedings of the 12th International Symposium on Combinatorial Search, SoCS 2019, pp. 135 – 139. 2019.
  citation

2018

• Antonio Bandera, Juan P. Bandera, Pablo Bustos, Fernando Férnandez, Angel García-Olaya, Javier García, Ismael García-Varea, Luis J. Manso, Rebeca Marfil, Jesús Martínez-Gómez, Pedro Núñez, Jose M. Perez-Lorenzo, Pedro Reche-Lopez, Cristina Romero-González and Raquel Viciana-Abad.
  LifeBots I: Building the software infrastructure for supporting lifelong technologies.
  Advances in Intelligent Systems and Computing 693, pp. 391 – 402. 2018.
  citation

• Francisco Martinez-Gil, Miguel Lozano, Ignacio García-Fernández and Fernando Fernández.
  Modeling, evaluation, and scale on artificial pedestrians: A literature review.
  ACM Computing Surveys 50. 2018.
  citation

• Moisés Martínez, Javier García and Fernando Fernández.
  On-Line Case-Based Policy Learning for Automated Planning in Probabilistic Environments.
  International Journal of Information Technology and Decision Making 17, pp. 763 – 800. 2018.
  citation

• Dimitri Voilmy, Cristina Suárez, Adrian Romero-Garcés, Cristian Reuther, Jose Carlos Pulido, Rebeca Marfil, Luis J. Manso, Karine Lan Hing Ting, Ana Iglesias, Jose Carlos González, Javier García, Angel García-Olaya, Raquel Fuentetaja, Fernando Fernández, Alvaro Dueñas, Luis Vicente Calderita, Pablo Bustos, T. Barile, Juan Pedro Bandera and Antonio Bandera.
  CLARC: A cognitive robot for helping geriatric doctors in real scenarios.
  Advances in Intelligent Systems and Computing 693, pp. 403 – 414. 2018.
  citation

• Enrique García Estévez, Irene Díaz Portales, Jose Carlos Pulido, Raquel Fuentetaja and Fernando Fernández.
  Enhancing a robotic rehabilitation model for hand-arm bimanual intensive therapy.
  Advances in Intelligent Systems and Computing 693, pp. 379 – 390. 2018.
  citation

• Raquel Fuentetaja, Michael Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco and Patricia Riddle.
  Meta-search through the space of representations and heuristics on a problem by problem basis.
  In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 6169 – 6176. 2018.
  citation

• Raquel Fuentetaja, Daniel Borrajo and Tomás De La Rosa.
  Anticipation of goals in automated planning.
  AI Communications 31, pp. 117 – 135. 2018.
  citation

• Tiago Pereira, Nerea Luis, Antonio Moreira, Daniel Borrajo, Manuela Veloso and Susana Fernández.
  Heterogeneous multi-agent planning using actuation maps.
  In 18th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018, pp. 219 – 224. 2018.
  citation

• Alberto Pozanco, Yolanda E-Martín, Susana Fernández and Daniel Borrajo.
  Counterplanning using goal recognition and landmarks.
  In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), pp. 4808 – 4814. 2018.
  paper citation

• Álvaro Torralba, Carlos Linares López and Daniel Borrajo.
  Symbolic perimeter abstraction heuristics for cost-optimal planning.
  Artificial Intelligence 259, pp. 1 – 31. 2018.
  citation

• Mark Roberts, Daniel Borrajo, Michael Cox and Neil Yorke-Smith.
  Special issue on goal reasoning.
  AI Communications 31, pp. 115 – 116. 2018.
  citation

2017

• Jose Carlos Pulido, Jose Carlos González, Cristina Suárez-Mejías, Antonio Bandera, Pablo Bustos and Fernando Fernández.
  Evaluating the Child–Robot Interaction of the NAOTherapist Platform in Pediatric Rehabilitation.
  International Journal of Social Robotics 9, pp. 343 – 358. 2017.
  paper citation

• Jose Carlos González, Jose Carlos Pulido and Fernando Fernández.
  A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots.
  Cognitive Systems Research 43, pp. 232 – 249. 2017.
  citation

• Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández.
  Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models.
  Simulation Modelling Practice and Theory 74, pp. 117 – 133. 2017.
  citation

• Tomás De La Rosa, Isabel Cenamor and Fernando Fernández.
  Performance modelling of planners from homogeneous problem sets.
  In Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling (ICAPS 2017), pp. 425 – 433. 2017.
  citation

• Tomas De La Rosa, Raquel Fuentetaja, Daniel Borrajo and Carlos Linares Lopez.
  Sensor planning system for the space situational awareness (SSA) project.
  In Proceedings - 6th IEEE International Conference on Space Mission Challenges for Information Technology, SMC-IT 2017, pp. 107 – 113. 2017.
  citation

• Tomás de la Rosa and Raquel Fuentetaja.
  Bagging strategies for learning planning policies.
  Annals of Mathematics and Artificial Intelligence 79, pp. 291 – 305. 2017.
  citation

• Isabel Cenamor, Tomás de la Rosa, Sergio Núñez and Daniel Borrajo.
  Planning for tourism routes using social networks.
  Expert Systems with Applications 69, pp. 1 – 9. 2017.
  citation

2016

• Moisés Martínez, Fernando Fernández and Daniel Borrajo.
  Planning and execution through variable resolution planning.
  Robotics and Autonomous Systems 83, pp. 214 – 230. 2016.
  citation

• Isabel Cenamor, Tomás De La Rosa and Fernando Fernández.
  The IBaCoP planning system: Instance-based configured portfolios.
  Journal of Artificial Intelligence Research 56, pp. 657 – 691. 2016.
  citation

• Raquel Fuentetaja and Tomas De La Rosa.
  Compiling irrelevant objects to counters. Special case of creation planning.
  AI Communications 29, pp. 435 – 467. 2016.
  citation

• Alberto Pozanco, Susana Fernández and Daniel Borrajo.
  Urban traffic control assisted by AI planning and relational learning.
  In CEUR Workshop Proceedings. 2016.
  citation

• Álvaro Torralba, Carlos Linares Lopez and Daniel Borrajo.
  Abstraction heuristics for symbolic bidirectional search.
  In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pp. 3272 – 3278. 2016.
  citation

• Matija Gulić, Ricardo Olivares and Daniel Borrajo.
  Using automated planning for traffic signals control; [Korištenje automatiziranog planiranja za upravljanje prometnom signalizacijom].
  Promet - Traffic and Transportation 28, pp. 383 – 391. 2016.
  paper citation

2015

• Carlos Linares López, Sergio Jiménez Celorrio and Angel Garcia-Olaya.
  The deterministic part of the seventh International Planning Competition.
  Artificial Intelligence 223, pp. 82 - 119. 2015.
  paper citation

• Javier García and Fernando Fernández.
  A comprehensive survey on safe reinforcement learning.
  Journal of Machine Learning Research 16, pp. 1437 – 1480. 2015.
  citation

• Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández.
  Strategies for simulating pedestrian navigation with multiple reinforcement learning agents.
  Autonomous Agents and Multi-Agent Systems 29, pp. 98 – 130. 2015.
  citation

• Alejandro Martín, José C. González, José C. Pulido, Angel García-Olaya, Fernando Fernández and Cristina Suárez.
  Therapy Monitoring and Patient Evaluation with Social Robots.
  In ACM International Conference Proceeding Series, pp. 152 – 155. 2015.
  citation

• Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández.
  Emergent collective behaviors in a multi-agent reinforcement learning pedestrian simulation: A case study.
  Lecture Notes in Computer Science 9002, pp. 228 – 238. 2015.
  citation

• Raquel Fuentetaja, Lukáš Chrpa, Thomas L McCluskey and Mauro Vallati.
  Exploring the synergy between two modular learning techniques for automated planning.
  In Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015, pp. 35 – 43. 2015.
  citation

• Vidal Alcázar, Susana Fernández, Daniel Borrajo and Manuela Veloso.
  Using random sampling trees for automated planning.
  AI Communications 28, pp. 665 – 681. 2015.
  citation

• Sergio Núñez, Daniel Borrajo and Carlos Linares López.
  Sorting sequential portfolios in automated planning.
  In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), pp. 1638 – 1644. 2015.
  citation

• Carlos Linares López and Abdallah Saffidine.
  A preliminary selection of problems in heuristic search.
  In Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015, pp. 186 – 190. 2015.
  citation

• Carlos Linares López.
  Vectorial pattern databases.
  AI Communications 28, pp. 441 – 452. 2015.
  citation

• Carlos Linares López.
  Heuristics as Markov chains.
  Annals of Mathematics and Artificial Intelligence 73, pp. 275 – 309. 2015.
  citation

• Sergio Núñez, Daniel Borrajo and Carlos Linares López.
  Automatic construction of optimal static sequential portfolios for AI planning and beyond.
  Artificial Intelligence 226, pp. 75 – 101. 2015.
  citation

• Daniel Borrajo, Anna Roubíčková and Ivan Serina.
  Progress in Case-based planning.
  ACM Computing Surveys 47. 2015.
  citation

2014

• Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández.
  MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups.
  Simulation Modelling Practice and Theory 47, pp. 259 – 275. 2014.
  citation

• Luis Vicente Calderita, Luis J. Manso, Pablo Bustos, Cristina Suárez-Mejías, Fernando Fernández and Antonio Bandera.
  Therapist:towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children.
  JMIR Rehabilitation and Assistive Technologies 1. 2014.
  citation

• Alberto Garbajosa, Tomás De La Rosa and Raquel Fuentetaja.
  Planning with ensembles of classifiers.
  Frontiers in Artificial Intelligence and Applications 263, pp. 1007 – 1008. 2014.
  citation

• Vidal Alcazár, Susana Fernández and Daniel Borrajo.
  Analyzing the impact of partial states on duplicate detection and collision of frontiers.
  In Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling (ICAPS 2014), pp. 350 – 354. 2014.
  citation

• Carlos Linares López, Roni Stern and Ariel Felner.
  Solving the target-value search problem.
  In Proceedings of the 7th Annual Symposium on Combinatorial Search, SoCS 2014, pp. 202 – 203. 2014.
  citation

• Javier Orcoyen Chaves and Daniel Borrajo.
  Humanoid robots play theater.
  Advances in Intelligent Systems and Computing 252, pp. 597 – 602. 2014.
  citation

2013

• Victor Gonzalez-Pacheco, Maria Malfaz, Fernando Fernández and Miguel A. Salichs.
  Teaching human poses interactively to a social robot.
  Sensors 13, pp. 12406 – 12430. 2013.
  citation

• Sergio Jiménez, Fernando Fernández and Daniel Borrajo.
  Integrating planning, execution, and learning to improve plan execution.
  Computational Intelligence 29, pp. 1 – 36. 2013.
  citation

• Susana Fernández, Tomás De La Rosa, Fernando Fernández, Rubén Suárez, Javier Ortiz, Daniel Borrajo and David Manzano.
  Using automated planning for improving data mining processes.
  The Knowledge Engineering Review 28, pp. 157 – 173. 2013.
  citation

• Antonio Jesus Palomino, Angel García-Olaya, Fernando Fernández and Juan Pedro Bandera.
  From perception to action and vice versa: A new architecture showing how perception and action can modulate each other simultaneously.
  In 2013 European Conference on Mobile Robots, ECMR 2013 - Conference Proceedings, pp. 268 – 273. 2013.
  citation

• Fernando Fernández and Manuela Veloso.
  Learning domain structure through probabilistic policy reuse in reinforcement learning.
  Progress in Artificial Intelligence 2, pp. 13 – 27. 2013.
  paper citation

• Vidal Alcázar, Daniel Borrajo, Susana Fernández and Raquel Fuentetaja.
  Revisiting regression in planning.
  In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2254 – 2260. 2013.
  citation

• Raquel Fuentetaja, Daniel Borrajo, Carlos Linares López and Jorge Ocón.
  Multi-step Generation of Bayesian Networks Models for Software Projects Estimations.
  International Journal of Computational Intelligence Systems 6, pp. 796 – 821. 2013.
  paper citation

• Daniel Pérez-Pinillos, Susana Fernández and Daniel Borrajo.
  Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning.
  Communications in Computer and Information Science 271, pp. 146 – 160. 2013.
  citation

• Antonio Garrido, Susana Fernández, Lluvia Morales, Eva Onaindía, Daniel Borrajo and Luis Castillo.
  On the automatic compilation of e-learning models to planning.
  The Knowledge Engineering Review 28, pp. 121 – 136. 2013.
  paper citation

• Javier García, José E. Florez, Álvaro Torralba, Daniel Borrajo, Carlos Linares López, Angel García-Olaya and Juan Sáenz.
  Combining linear programming and automated planning to solve intermodal transportation problems.
  European Journal of Operational Research 227, pp. 216 – 226. 2013.
  citation

• Javier Ortiz, Angel García-Olaya and Daniel Borrajo.
  Using activity recognition for building planning action models.
  International Journal of Distributed Sensor Networks 2013. 2013.
  citation

• Tomás De La Rosa, Angel García-Olaya and Daniel Borrajo.
  A case-based approach to heuristic planning.
  Applied Intelligence 39, pp. 184 – 201. 2013.
  citation

• Álvaro Torralba, Carlos Linares López and Daniel Borrajo.
  Symbolic merge-and-shrink for cost-optimal planning.
  In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2394 – 2400. 2013.
  citation

• Carlos Linares López, Roni Stern and Ariel Felner.
  Target-value search revisited (extended abstract).
  In Proceedings of the 6th Annual Symposium on Combinatorial Search, SoCS 2013, pp. 216 – 217. 2013.
  citation

• Carlos Linares López, Roni Stern and Ariel Felner.
  Target-Value Search revisited.
  In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 601 – 607. 2013.
  citation

• Carlos Linares López, Sergio Jiménez and Malte Helmert.
  Automating the evaluation of planning systems.
  AI Communications 26, pp. 331 – 354. 2013.
  citation

• Daniel Borrajo, Simone Fratini, Subbarao Kambhampati and Angelo Oddi.
  ICAPS 2013 - Proceedings of the 23rd International Conference on Automated Planning and Scheduling: Preface.
  In Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling (ICAPS 2013), pp. xi–xiii. 2013.
  citation

• Daniel Borrajo.
  Multi-agent planning by plan reuse.
  In Proceedings of the 2013 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2013), pp. 1141 – 1142. 2013.
  citation

• Isabel Cenamor, Tomaś De La Rosa and Daniel Borrajo.
  OnDroad planner: Building tourist plans using traveling social network information.
  In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2013), pp. 14 – 15. 2013.
  citation

2012

• Javier García, Álvaro Torrralba, Angel Garcia-Olaya, Daniel Borrajo and José E. Flórez.
  Solving Multi-modal and Uni-modal Transportation Problems through TIMIPlan.
  In Proceedings of the 13th IFAC Symposium on Control in Transportation Systems, pp. 231–236. 2012.
  paper citation

• J. Gonzalez, I. Masmitja, S. Gomariz, E. Molino, J. del Rio, A. Manuel, J. Busquets, 1 A. Guerrero, F. Lopez, M. Carreras, D. Ribas, A. Carrera, C. Candela, P. Ridao, J. Sousa, P. Calado, J. Pinto, A. Sousa, R. Martins, Daniel Borrajo, Angel Garcia-Olaya, B. Garau, I. Gonzalez, S. Torres, K. Rajan, M. McCann and J. Gilabert.
  AUV Based Multi-vehicle Collaboration: Salinity Studies in Mar Menor Coastal Lagoon.
  In IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV). 2012.
  paper citation

• Amanda Jane Coles, Andrew Coles, Angel Garcia-Olaya, Sergio Jiménez, Carlos Linares López, Scott Sanner and Sungwook Yoon.
  A Survey of the Seventh International Planning Competition.
  AI Magazine 33, pp. 83–88. 2012.
  citation

• Sergio Jiménez, Tomás De La Rosa, Susana Fernández, Fernando Fernández and Daniel Borrajo.
  A review of machine learning for automated planning.
  The Knowledge Engineering Review 27, pp. 433 – 467. 2012.
  citation

• Javier García and Fernando Fernández.
  Safe exploration of state and action spaces in reinforcement learning.
  Journal of Artificial Intelligence Research 45, pp. 515 – 564. 2012.
  citation

• Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández.
  Multi-agent reinforcement learning for simulating pedestrian navigation.
  Lecture Notes in Computer Science 7113 LNAI, pp. 54 – 69. 2012.
  citation

• Francisco Martinez-Gil, Miguel Lozano and Fernando Fernández.
  Calibrating a motion model based on reinforcement learning for pedestrian simulation.
  Lecture Notes in Computer Science 7660 LNCS, pp. 302 – 313. 2012.
  citation

• Javier González-Quijano, Mohamed Abderrahim, Fernando Fernández and Choukri Bensalah.
  A kinodynamic planning-learning algorithm for complex robot motor control.
  In 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012 - Proceedings, pp. 80 – 83. 2012.
  citation

• José Eloy Flórez, Javier Carbó and Fernando Fernández.
  A meta-tool to support the development of knowledge engineering methodologies and projects.
  International Journal of Software Engineering and Knowledge Engineering 22, pp. 1055 – 1083. 2012.
  citation

• Javier García, Fernando Borrajo and Fernando Fernández.
  Reinforcement learning for decision-making in a business simulator.
  International Journal of Information Technology and Decision Making 11, pp. 935 – 960. 2012.
  citation

• Rocío García-Durán, Fernando Fernández and Daniel Borrajo.
  A prototype-based method for classification with time constraints: A case study on automated planning.
  Pattern Analysis and Applications 15, pp. 261 – 277. 2012.
  citation

• Raquel Fuentetaja and Tomás De La Rosa.
  A planning-based approach for generating planning problems.
  In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2012), pp. 30 – 36. 2012.
  citation

• Susana Fernández and Daniel Borrajo.
  Using linear programming to solve clustered oversubscription planning problems for designing e-courses.
  Expert Systems with Applications 39, pp. 5178 – 5188. 2012.
  citation

• Álvaro Parra, Álvaro Torralba and Carlos Linares López.
  Precomputed-direction heuristics for suboptimal grid-based path-finding.
  In Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012, pp. 211 – 212. 2012.
  citation

• Daniel Borrajo, Ariel Felner, Richard Korf, Maxim Likhachev, Carlos Linares López, Wheeler Ruml and Nathan Sturtevant.
  Preface.
  In Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012, pp. xi. 2012.
  citation

• Daniel Borrajo, Maxim Likhachev and Carlos Linares López.
  The symposium on combinatorial search.
  AI Communications 25, pp. 209 – 210. 2012.
  citation

• Juan P. Arregui, Juan A. Tejo, Carlos Linares López and Daniel Borrajo.
  Steps towards an operational sensors network planning for space surveillance.
  In SpaceOps 2012 Conference. 2012.
  citation

• Sergio Núñez, Daniel Borrajo and Carlos Linares López.
  Performance analysis of planning portfolios.
  In Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012, pp. 65 – 71. 2012.
  citation

• Armando Ordonez, Vidal Alcázar, Daniel Borrajo, Paolo Falcarin and Juan Carlos Corrales.
  An automated user-centered planning framework for decision support in environmental early warnings.
  Lecture Notes in Computer Science 7637 LNAI, pp. 591 – 600. 2012.
  citation

2011

• Angel Garcia-Olaya, Tomás de la Rosa and Daniel Borrajo.
  Using the Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems.
  Book chapter in Advances in Artificial Intelligence, pp. 183-192. 2011.
  paper citation

• Ezequiel Quintero, Vidal Alcázar, Daniel Borrajo, Juan Fdez-Olivares, Fernando Fernández, Angel García-Olaya, César Guzmán, Eva Onaindía and David Prior.
  Autonomous mobile robot control and learning with the PELEA architecture.
  In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), pp. 51 – 56. 2011.
  citation

• Ezequiel Quintero, Angel García-Olaya, Daniel Borrajo and Fernando Fernández.
  Control of autonomous mobile robots with automated planning.
  Journal of Physical Agents 5, pp. 3 – 13. 2011.
  citation

• Fernando Borrajo, Yolanda Bueno, Fernando Fernández, Javier García, Isidro de Pablo, Ismael Sagredo and Begoña Santos.
  Business simulators for business education and research: SIMBA experience.
  Unknown bibtex type book 2011.
  citation

• Rubén Suárez, Rocío García-Durán and Fernando Fernández.
  A similarity function with local feature weighting for structured data.
  In ESANN 2011 - 19th European Symposium on Artificial Neural Networks, pp. 369 – 374. 2011.
  citation

• Javier García, Iván López-Bueno, Fernando Fernández and Daniel Borrajo.
  A comparative study of discretization approaches for state space generalization in the keepaway soccer task.
  Unknown bibtex type book 2011.
  citation

• Tomas De La Rosa and Raquel Fuentetaja.
  On the importance of breaking ties in the relaxed plan heuristic.
  Journal of Experimental and Theoretical Artificial Intelligence 23, pp. 233 – 254. 2011.
  citation

• Tomás De La Rosa, Sergio Jiménez, Raquel Fuentetaja and Daniel Borrajo.
  Scaling up heuristic planning with relational decision trees.
  Journal of Artificial Intelligence Research 40, pp. 767 – 813. 2011.
  citation

• Daniel Pérez-Pinillos, Susana Fernández and Daniel Borrajo.
  Providing deliberation to emotional agents.
  In ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, pp. 98 – 105. 2011.
  citation

• Susana Fernández, Ricardo Aler and Daniel Borrajo.
  Knowledge transfer between automated planners.
  AI Magazine 32, pp. 79 – 94. 2011.
  citation

• José E. Flórez, Álvaro Torralba Arias De Reyna, Javier García, Carlos Linares López, Angel García-Olaya and Daniel Borrajo.
  Planning multi-modal transportation problems.
  In Proceedings of the Twenty-First International Conference on Automated Planning and Scheduling (ICAPS 2011), pp. 66 – 73. 2011.
  citation

• Javier Ortiz Laguna, Angel García-Olaya and Daniel Borrajo.
  A dynamic sliding window approach for activity recognition.
  Lecture Notes in Computer Science 6787 LNCS, pp. 219 – 230. 2011.
  citation

• Álvaro Torralba Arias De Reyna and Carlos Linares López.
  Size-independent additive pattern databases for the pancake problem.
  In Proceedings of the 4th Annual Symposium on Combinatorial Search, SoCS 2011, pp. 164 – 171. 2011.
  citation

• Vidal Alcázar, Manuela Veloso and Daniel Borrajo.
  Adapting a rapidly-exploring random tree for automated planning.
  In Proceedings of the 4th Annual Symposium on Combinatorial Search, SoCS 2011, pp. 2 – 9. 2011.
  citation

2010

• Fernando Fernández, Javier García and Manuela Veloso.
  Probabilistic Policy Reuse for inter-task transfer learning.
  Robotics and Autonomous Systems 58, pp. 866 – 871. 2010.
  citation

• Fernando Borrajo, Yolanda Bueno, Isidro de Pablo, Begoña Santos, Fernando Fernández, Javier García and Ismael Sagredo.
  SIMBA: A simulator for business education and research.
  Decision Support Systems 48, pp. 498 – 506. 2010.
  citation

• Javier García, Fernando Fernández and Fernando Borrajo.
  Learning virtual agents for decision-making in business simulators.
  In CEUR Workshop Proceedings. 2010.
  citation

• Francisco Martinez-Gil, Fernando Barber, Miguel Lozano, Francisco Grimaldo and Fernando Fernández.
  A reinforcement learning approach for multiagent navigation.
  In ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings, pp. 607 – 610. 2010.
  citation

• Fernando Borrajo, Yolanda Bueno, Fernando Fernández, Javier García, Isidro de Pablo, Ismael Sagredo and Begoña Santos.
  Business simulation in business education.
  Unknown bibtex type book 2010.
  citation

• Raquel Fuentetaja, Daniel Borrajo and Carlos Linares López.
  A look-ahead B&B search for cost-based planning.
  Lecture Notes in Computer Science 5988 LNAI, pp. 201 – 211. 2010.
  citation

• Carlos Linares López.
  Vectorial pattern databases.
  Frontiers in Artificial Intelligence and Applications 215, pp. 1059 – 1060. 2010.
  citation

• Carlos Linares López and Daniel Borrajo.
  Adding diversity to classical heuristic planning.
  In Proceedings of the 3rd Annual Symposium on Combinatorial Search, SoCS 2010, pp. 73 – 80. 2010.
  citation

• Vidal Alcázar, Daniel Borrajo and Carlos Linares López.
  Using backwards generated goals for Heuristic planning.
  In Proceedings of the Twentieth International Conference on Automated Planning and Scheduling (ICAPS 2010), pp. 2 – 9. 2010.
  citation

• Andrea Addis and Daniel Borrajo.
  From unstructured web knowledge to plan descriptions.
  Studies in Computational Intelligence 324, pp. 41 – 59. 2010.
  citation

• Luis Castillo, Lluvia Morales, Arturo González-Ferrer, Juan Fdez-Olivares, Daniel Borrajo and Eva Onaindía.
  Automatic generation of temporal planning domains for e-learning problems.
  Journal of Scheduling 13, pp. 347 – 362. 2010.
  citation

• Somchaya Liemhetcharat, Manuela Veloso, Francisco Melo and Daniel Borrajo.
  Map-merging-free connectivity positioning for distributed robot teams.
  In Intelligent Autonomous Systems 11, IAS 2010, pp. 271 – 280. 2010.
  citation

• Agapito Ledezma, Ricardo Aler, Araceli Sanchis and Daniel Borrajo.
  GA-stacking: Evolutionary stacked generalization.
  Intelligent Data Analysis 14, pp. 89 – 119. 2010.
  citation

2009

• Fernando Fernández, Daniel Borrajo, Susana Fernández and David Manzano.
  Assisting data mining through automated planning.
  Lecture Notes in Computer Science 5632 LNAI, pp. 760 – 774. 2009.
  citation

• Iván López-Bueno, Javier García and Fernando Fernández.
  Two steps reinforcement learning in continuous reinforcement learning tasks.
  Lecture Notes in Computer Science 5517 LNCS, pp. 577 – 584. 2009.
  citation

• Ana Iglesias, Paloma Martínez, Ricardo Aler and Fernando Fernández.
  Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems.
  Knowledge-Based Systems 22, pp. 266 – 270. 2009.
  citation

• Ana Iglesias, Paloma Martínez, Ricardo Aler and Fernando Fernández.
  Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning.
  Applied Intelligence 31, pp. 89 – 106. 2009.
  citation

• Agapito Ledezma, Ricardo Aler, Araceli Sanchis and Daniel Borrajo.
  OMBO: An opponent modeling approach.
  AI Communications 22, pp. 21 – 35. 2009.
  citation

2008

• Rocío García-Durán, Fernando Fernández and Daniel Borrajo.
  Learning and transferring relational instance-based policies.
  In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI 2008), pp. 19 – 24. 2008.
  citation

• Fernando Fernández and Pedro Isasi.
  Local feature weighting in nearest prototype classification.
  IEEE Transactions on Neural Networks 19, pp. 40 – 53. 2008.
  citation

• Sergio Jiménez, Fernando Fernández and Daniel Borrajo.
  The PELA Architecture: Integrating Planning and Learning to Improve Execution.
  In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI 2008), pp. 1294 – 1299. 2008.
  citation

• Rocío García-Durán, Fernando Fernández and Daniel Borrajo.
  Prototypes based relational learning.
  Lecture Notes in Computer Science 5253 LNAI, pp. 130 – 143. 2008.
  citation

• Fernando Fernández and Pedro Isasi.
  Nearest prototype classification of noisy data.
  Artificial Intelligence Review 30, pp. 53 – 66. 2008.
  citation

• Fernando Fernández and Daniel Borrajo.
  Two steps reinforcement learning.
  International Journal of Intelligent Systems 23, pp. 213 – 245. 2008.
  citation

• Raquel Fuentetaja, Daniel Borrajo and Carlos Linares López.
  A new approach to heuristic estimations for cost-based planning.
  In Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21, pp. 543 – 548. 2008.
  citation

• Luis Castillo, Eva Armengol, Eva Onaindía, Laura Sebastiá, Jesús González-Boticario, Antonio Rodríguez, Susana Fernández, Juan D. Arias and Daniel Borrajo.
  samap: An user-oriented adaptive system for planning tourist visits.
  Expert Systems with Applications 34, pp. 1318 – 1332. 2008.
  citation

• Javier Asensio, Marta Jiménez, Susana Fernández and Daniel Borrajo.
  A social and emotional model for obtaining believable emergent behaviors.
  Lecture Notes in Computer Science 5253 LNAI, pp. 395 – 399. 2008.
  citation

• Carlos Linares López.
  Multi-valued pattern databases.
  Frontiers in Artificial Intelligence and Applications 178, pp. 540 – 544. 2008.
  citation

• Carlos Linares López.
  Heuristic hill-climbing as a markov process.
  Lecture Notes in Computer Science 5253 LNAI, pp. 274 – 284. 2008.
  citation

• Javier Ortiz, Angel García and Daniel Borrajo.
  A relational learning approach to activity recognition from sensor readings.
  In 2008 4th International IEEE Conference Intelligent Systems, IS 2008, pp. 198 – 1913. 2008.
  citation

• Tomás De La Rosa, Sergio Jiménez and Daniel Borrajo.
  Learning relational decision trees for guiding heuristic planning.
  In Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling (ICAPS 2008), pp. 60 – 67. 2008.
  citation

• David Manzano-Macho, Asunción Gómez-Pérez and Daniel Borrajo.
  Unsupervised and domain independent ontology learning. Combining heterogeneous sources of evidence.
  In Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008, pp. 1633 – 1640. 2008.
  citation

2007

• Rocío García-Durán, Fernando Fernández and Daniel Borrajo.
  Combining macro-operators with control knowledge.
  Lecture Notes in Computer Science 4455 LNAI, pp. 229 – 243. 2007.
  citation

• Susana Fernández, Daniel Borrajo, Raquel Fuentetaja, Juan D. Arias and Manuela Veloso.
  PLTOOL: A knowledge engineering tool for planning and learning.
  The Knowledge Engineering Review 22, pp. 153 – 184. 2007.
  citation

• Susana Fernańdez, Ricardo Aler and Daniel Borrajo.
  Transferring learned control-knowledge between planners.
  In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), pp. 1885 – 1890. 2007.
  citation

• Tomás De La Rosa, Angel García-Olaya and Daniel Borrajo.
  Case-based recommendation of node ordering in planning.
  In Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007, pp. 393 – 398. 2007.
  citation

• Tomás De La Rosa, Angel García-Olaya and Daniel Borrajo.
  Using cases utility for heuristic planning improvement.
  Lecture Notes in Computer Science 4626 LNAI, pp. 137 – 148. 2007.
  citation

• María Dolores R-Moreno, Daniel Borrajo, Amedeo Cesta and Angelo Oddi.
  Integrating planning and scheduling in workflow domains.
  Expert Systems with Applications 33, pp. 389 – 406. 2007.
  citation

• Daniel Borrajo, Luis Castillo and Juan Manuel Corchado.
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.
  Lecture Notes in Computer Science 4788 LNAI, pp. v. 2007.
  citation

2006

• David Camacho, Fernando Fernández and Miguel A. Rodelgo.
  Roboskeleton: An architecture for coordinating robot soccer agents.
  Engineering Applications of Artificial Intelligence 19, pp. 179 – 188. 2006.
  citation

• Fernando Fernández and Manuela Veloso.
  Probabilistic policy reuse in a reinforcement learning agent.
  In Proceedings of the International Conference on Autonomous Agents, pp. 720 – 727. 2006.
  citation

• Fernando Fernández and Manuela Veloso.
  Reusing and building a policy library.
  In Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling (ICAPS 2006), pp. 378 – 381. 2006.
  citation

• Raquel Fuentetaja, Daniel Borrajo and Carlos Linares López.
  Improving relaxed planning graph heuristics for metric optimization.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 79 – 86. 2006.
  citation

• Tomás De La Rosa and Raquel Fuentetaja.
  Integrating actions preconditions difficulty within the relaxed plan heuristic measure.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 87 – 90. 2006.
  citation

• Raquel Fuentetaja and Daniel Borrajo.
  Some active learning schemes to acquire control knowledge for planning.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 93 – 100. 2006.
  citation

• Susana Fernández, Ricardo Aler and Daniel Borrajo.
  Transfer of learned heuristics among planners.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 85 – 92. 2006.
  citation

• Tomás De La Rosa, Daniel Borrajo and Angel Garcia Olaya.
  Replaying type sequences in forward heuristic planning.
  In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 80 – 84. 2006.
  citation

• Carlos Linares López.
  Heuristic perimeter search: First results.
  Lecture Notes in Computer Science 4177 LNAI, pp. 251 – 260. 2006.
  citation

• David Camacho, Ricardo Aler, Daniel Borrajo and José M. Molina.
  Multi-agent plan based information gathering.
  Applied Intelligence 25, pp. 59 – 71. 2006.
  citation

• Ramón García-Martínez, Daniel Borrajo, Pablo Maceri and Paola Britos.
  Learning by knowledge sharing in autonomous intelligent systems.
  Lecture Notes in Computer Science 4140 LNAI, pp. 128 – 137. 2006.
  citation

• María Dolores Rodriguez-Moreno, Angelo Oddi, Daniel Borrajo and Amedeo Cesta.
  IPSS: A hybrid approach to planning and scheduling integration.
  IEEE Transactions on Knowledge and Data Engineering 18, pp. 1681 – 1695. 2006.
  citation

• Derek Long, Stephen Smith, Daniel Borrajo and Lee McCluskey.
  ICAPS 2006 - Proceedings, Sixteenth International Conference on Automated Planning and Scheduling: Preface.
  In Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling (ICAPS 2006), pp. xi–xii. 2006.
  citation

2005

• Fernando Fernández, Daniel Borrajo and Lynne E. Parker.
  A reinforcement learning algorithm in cooperative multi-robot domains.
  Journal of Intelligent and Robotic Systems: Theory and Applications 43, pp. 161 – 174. 2005.
  citation

• Sergio Jiménez, Fernando Fernández and Daniel Borrajo.
  Machine learning of plan robustness knowledge about instances.
  Lecture Notes in Computer Science 3720 LNAI, pp. 609 – 616. 2005.
  paper citation

• Martin Molina, Raquel Fuentetaja and Luis Garrote.
  Hydrologic models for emergency decision support using Bayesian networks.
  Lecture Notes in Computer Science 3571 LNAI, pp. 88 – 99. 2005.
  citation

• Susana Fernández, Ricardo Aler and Daniel Borrajo.
  Machine learning in hybrid hierarchical and partial-order planners for manufacturing domains.
  Applied Artificial Intelligence 19, pp. 783 – 809. 2005.
  citation

• David Camacho, Ricardo Aler, Daniel Borrajo and José M. Molina.
  A Multi-Agent architecture for intelligent gathering systems.
  AI Communications 18, pp. 15 – 32. 2005.
  citation

• Agapito Ledezma, Ricardo Aler, Araceli Sanchis and Daniel Borrajo.
  Predicting opponent actions by observation.
  In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), pp. 286 – 296. 2005.
  citation

2004

• Fernando Fernández and Pedro Isasi.
  Evolutionary design of nearest prototype classifiers.
  Journal of Heuristics 10, pp. 431 – 454. 2004.
  citation

• Ana Iglesias, Paloma Martínez, Ricardo Aler and Fernando Fernández.
  Learning content sequencing in an educational environment according to student needs.
  In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), pp. 454 – 463. 2004.
  citation

• Susana Fernández, Ricardo Aler and Daniel Borrajo.
  Using previous experience for learning planning control knowledge.
  In Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004, pp. 713 – 718. 2004.
  citation

• Dolores R-Moreno, Angelo Oddi, Daniel Borrajo, Amedeo Cesta and Daniel Meziat.
  IPSS: A hybrid reasoner for planning and scheduling.
  Frontiers in Artificial Intelligence and Applications 110, pp. 1065 – 1066. 2004.
  citation

• Maria Dolores Rodríguez-Moreno, Daniel Borrajo and Daniel Meziat.
  An AI planning-based tool for scheduling satellite nominal operations.
  AI Magazine 25, pp. 9 – 27. 2004.
  citation

• Agapito Ledezma, Ricardo Aler, Araceli Sanchis and Daniel Borrajo.
  Empirical evaluation of optimized stacking configurations.
  In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pp. 49 – 55. 2004.
  citation

2003

• Agapito Ledezma, Fernando Fernández and Ricardo Aler.
  From continuous behaviour to discrete knowledge.
  Lecture Notes in Computer Science 2687, pp. 217 – 224. 2003.
  citation

• Ana Iglesias, Paloma Martinez and Fernando Fernández.
  Navigating through the RLATES interface: A web-based adaptive and intelligent educational system.
  Lecture Notes in Computer Science 2889, pp. 175 – 184. 2003.
  citation

2002

• Fernando Fernández and Pedro Isasi.
  Automatic finding of good classifiers following a biologically inspired metaphor.
  Computing and Informatics 21, pp. 205 – 220. 2002.
  citation

• Ana Iglesias, Paloma Martínez, Dolores Cuadra, Elena Castro and Fernando Fernández.
  Learning to teach database design by trial and error.
  In ICEIS 2002 - Proceedings of the 4th International Conference on Enterprise Information Systems, pp. 500 – 505. 2002.
  citation

• Susana Fernández, Ricardo Aler and Daniel Borrajo.
  On learning control knowledge for a HTN-POP hybrid planner.
  In Proceedings of 2002 International Conference on Machine Learning and Cybernetics, pp. 1899 – 1904. 2002.
  citation

2000

• Fernando Fernández and Daniel Borrajo.
  VQQL. Applying vector quantization to reinforcement learning.
  Lecture Notes in Computer Science 1856, pp. 292 – 303. 2000.
  citation