Javier Segovia-Aguas

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Javier Segovia finished the Master in Intelligent Interactive Systems of Universitat Pompeu Fabra (UPF) in September 2014, and one month later, he joined UPF as a Ph.D. student. He is doing his thesis in the Artificial Intelligence Research Group under the supervision of Dr. Anders Jonsson. His research interests are automated planning and machine learning applied to problems that can be hierarchical decomposed.

Publications

J. Segovia-Aguas, Jiménez, S., and Jonsson, A., Unsupervised Classification of Planning Instances, in Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
J. Segovia-Aguas, Ferrer-Mestres, J., and Jonsson, A., Planning with Partially Specified Behaviors, in Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence (CCAI'16), 2016.
D. Lotinac, Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Automatic Generation of High-Level State Features for Generalized Planning, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
J. Segovia-Aguas, Jiménez, S., and Jonsson, A., Hierarchical Finite State Controllers for Generalized Planning, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
J. Segovia-Aguas, Jiménez, S., and Jonsson, A., Generalized Planning With Procedural Domain Control Knowledge, in Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.