Mauricio Salerno
PhD Student
About Me
I am a Ph.D. student at Universidad Carlos III de Madrid, Spain. I work at the Computer Science and Engineering Department, in the Planning & Learning Group (PLG). My main research interest is classical planning.
Short bio
I got my bachelor's at Universidad Simón Bolívar (Venezuela) and my master's at Universidad Carlos III (Spain).
Publications
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.
paper code citationMauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Finding Minimal Plan Reductions Using Classical Planning.
Journal of Artificial Intelligence Research . 2025.
paper code citationElliot 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 citationMauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Finding Minimal Plan Reductions Using Classical Planning.
Journal of Artificial Intelligence Research 84. 2025.
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 citationMauricio 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 citationMauricio 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
2022
Mauricio Salerno and Raquel Fuentetaja.
Elimination of Unnecessary Actions from Plans Using Automated Planning.
, pp. 8. 2022.
citationMauricio Salerno, Miguel Tabernero, Raquel Fuentetaja and Alberto Pozanco.
Filtering Top-k Relevant Plans.
, pp. 17. 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