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Listar por palabra clave "Partial observability"

Mostrando ítems 1-2 de 2

A Constraint-based Approach to Learn Temporal Features on Action Models from Multiple Plans

Garrido, Antonio (Springer-Verlag, 2022-04)

[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 ...
A unified constraint-based approach for plan and goal recognition from unreliable observations

Garrido, Antonio (Elsevier, 2023-10-25)

[EN] Given a sequence of observations over a plan execution, plan and goal recognition are considered as interchangeable tasks in AI planning. However, strictly speaking, the former tries to identify a plan, and the latter ...

Mostrando ítems 1-2 de 2