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Mostrando ítems 1-3 de 3

AUTOMAT[R]IX: learning simple matrix pipelines

Contreras-Ochando, Lidia; Ferri Ramírez, César; Hernández-Orallo, José (Springer-Verlag, 2021-04)

[EN] Matrices are a very common way of representing and working with data in data science and artificial intelligence. Writing a small snippet of code to make a simple matrix transformation is frequently frustrating, ...
Computing programs for generalized planning using a classical planner

Segovia-Aguas, Javier; Jiménez-Celorrio, Sergio; Jonsson, Anders (Elsevier, 2019-07)

[EN] Generalized planning is the task of generating a single solution (a generalized plan) that is valid for multiple planning instances. In this paper we introduce a novel formalism for representing generalized plans that ...
Generalized planning as heuristic search: A new planning search-space that leverages pointers over objects

Segovia-Aguas, Javier; Jiménez-Celorrio, Sergio; Jonsson, Anders (Elsevier, 2024-05)

[EN] Planning as heuristic search is one of the most successful approaches to classical planning but unfortunately, it does not trivially extend to Generalized Planning (GP); GP aims to compute algorithmic solutions that ...

Mostrando ítems 1-3 de 3