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Ivan Serina

3 accepted papers

2026

Learning Heuristic Functions with Graph Neural Networks for Numeric Planning

AAAI 2026technical

In this paper, we investigate the application of heuristics based on Graph Neural Networks (GNNs) to lifted numeric planning problems, an area that has been relatively unexplored. Building upon the GNN approach for learning general policies proposed by Ståhlberg, Bonet, and Geffner (2022b), we exten

Cited by 0SourcePDFScholar
2025

Learning Trajectories of Figurative Language for Pre-Trained Language Models

EMNLP 2025

Figurative language and figures of speech, such as metaphors and hyperboles, are used every day in written and oral communication among human beings. Nonetheless, this imaginative use of words in a non literal way requires a solid understanding of semantics and a deep real-world knowledge. In the lo

2022

Explaining the Behaviour of Hybrid Systems with PDDL+ Planning

IJCAI 2022poster

The aim of this work is to explain the observed behaviour of a hybrid system (HS). The explanation problem is cast as finding a trajectory of the HS that matches some observations. By using the formalism of hybrid automata (HA), we characterize the explanations as the language of a network of HA tha…

Cited by 3SourcePDFScholar