Publications

Year 2025

• 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.

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

• 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.

• 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.

• 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.

• 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.

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

• 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.

• 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.

• Ángel Aso-Mollar, Diego Aineto, Enrico Scala, Eva Onaindia. A Sampling Approach to Planning with Infinite Domain Control Variables. International Conference on Automated Planning and Scheduling (ICAPS). AAAI Press. pp. 1-5, 2025.

• Ángel Aso-Mollar, Diego Aineto, Enrico Scala and Eva Onaindia. Handling Infinite Domain Parameters in Planning through Best-First Search with Delayed Partial Expansions. International Joint Conference on Artificial Intelligence (IJCAI). 2025.

Year 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.

• 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.

• 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.

• 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.

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

• 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.

• Antonio Garrido. Learning Causality Under Uncertainty for Egocentric Action Anticipation. In IEA/AIE 2024, LNAI 14748, pp. 363–375, 2024.

• Antonio Garrido, Alba Gragera. Challenges in Evaluating Learned Planning Models in the Absence of Ground Truth Models. In Workshop on Echoing (failed) Efforts in Planning (WEEP @ ICAPS 2024).

• Oscar Sapena, Eva Onaindia, Eliseo Marzal. A hybrid approach for expressive numeric and temporal planning with control parameters. Expert Systems with Applications. Elsevier. 242(122820), 2024. 

• Angel Aso-Mollar, Oscar Sapena, Eva Onaindia. Exploring Simultaneity: Learning Earliest-time Semantics for Automated Planning. Workshop Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), ICAPS. 2024.

• Angel Aso-Mollar, Eva Onaindia. An Efficient Approach for Cooperative Multi-Agent Learning Problems. International Conference on Tools with AI (ICTAI). IEEE. pp. 694-701, 2024.

• Stanislav Sitanskiy, Laura Sebastia, Eva Onaindia. Learning and Simulating Human Behaviour with Relational Decision Trees. International Conference on Tools with AI (ICTAI). IEEE. pp. 868-874, 2024.

• Oscar Sapena, Eva Onaindia, Eliseo Marzal. Automated feature extraction for planning state representation. Inteligencia Artificial. Iberamia. 27(74), pp. 227-242, 2024.

• Eliseo Marzal, Laura Sebastia. Solving the tourist trip design problem with time windows and variable profit using incremental local search. Applied Soft Computing, 155. 

Year 2023

• Carmen Díaz-de-Mera, Fernando Fernández and José Carlos Pulido. Integration of Cognitive Tablet Games for Rehabilitation with Socially Assistive Robotics. 23rd International Workshop of Physical Agents (WAF), 2023.

• M. Salerno, R. Fuentetaja, J. Seipp. Eliminating Redundant Actions From Plans Using Automated Planning. 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023). 

• M. Salerno, R. Fuentetaja, J. Seipp. Spock: Fast Downward Stone Soup with Redundant Action Elimination. International Planning Competition IPC 2023.

• Alba Gragera, Raquel Fuentetaja, Ángel García-Olaya, Fernando Fernández. A Planning Approach to Repair Domains with Incomplete Action Effects. International Conference on Automated Planning and Scheduling (ICAPS 2023).

• Antonio Garrido. A unified constraint-based approach for plan and goal recognition from unreliable observations. Knowledge-Based Systems, Octubre, 278. 2023  

• Antonio Garrido. Learning cost action planning models with perfect precision via constraint propagation. Information Sciences, 628, 148–176, 2023

• Stanislav Sitanskiy, Laura Sebastia, Eva Onaindia. Learning and Identifying Human Behaviour using Decision Trees. IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 181-188, 2023

• Víctor Botti-Cebriá, Laura Sebastiá, David Monzó, Haritz Garcia. Improving the Scalability of Collaborative Filtering Recommendation with Clustering Techniques. IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 64-71, 2023