Learning STRIPS Action Models with Classical Planning. - Diego Aineto; Sergio Jiménez 003; Eva Onaindia (ICAPS, 2018)

A common framework for learning causality. - Eva Onaindia; Diego Aineto; Sergio Jiménez Celorrio (Prog. Artif. Intell., 2018)

Model Recognition as Planning. - Diego Aineto; Sergio Jiménez 003; Eva Onaindia; Miquel Ramírez (ICAPS, 2019)

Learning action models with minimal observability. - Diego Aineto; Sergio Jiménez Celorrio; Eva Onaindia (Artif. Intell., 2019)

Explanation-Based Learning of Action Models. - Diego Aineto; Sergio Jiménez Celorrio; Eva Onaindia (Knowledge Engineering Tools and Techniques for AI Planning, 2020)

Towards Plan Recognition in Hybrid Systems. - Diego Aineto; Eva Onaindia; Miquel Ramírez; Enrico Scala; Ivan Serina (IPS-RCRA@AI*IA, 2020)

Observation Decoding with Sensor Models: Recognition Tasks via Classical Planning. - Diego Aineto; Sergio Jiménez 003; Eva Onaindia (ICAPS, 2020)

Generalized Temporal Inference via Planning. - Diego Aineto; Sergio Jiménez 003; Eva Onaindia (KR, 2021)

Explaining the Behaviour of Hybrid Systems with PDDL+ Planning. - Diego Aineto; Eva Onaindia; Miquel Ramírez; Enrico Scala; Ivan Serina (IJCAI, 2022)

A Comprehensive Framework for Learning Declarative Action Models. - Diego Aineto; Sergio Jiménez 003; Eva Onaindia (J. Artif. Intell. Res., 2022)

Falsification of Cyber-Physical Systems Using PDDL+ Planning. - Diego Aineto; Enrico Scala; Eva Onaindia; Ivan Serina (ICAPS, 2023)

Action-Failure Resilient Planning. - Diego Aineto; Alessandro Gaudenzi; Alfonso Gerevini; Alberto Rovetta; Enrico Scala; Ivan Serina (ECAI, 2023)

Action Model Learning with Guarantees. - Diego Aineto; Enrico Scala (KR, 2024)