[EN] Learning in AI planning tries to recognize past conducts to predict features that help improve action models. We propose a constraint programming approach for learning the temporal features, i.e., the distribution of ...

[EN] Learning, as a discovery task from past observations, is interesting in engineering contexts for identifying structures and improving accuracy. Learning in planning scenarios aims at recognizing past behavior to predict ...