1 code implementation • 25 Jul 2023 • Javier Segovia-Aguas, Jonathan Ferrer-Mestres, Sergio Jiménez
The combinatorial search is guided with functions that asses the complexity of the candidate programs, as well as their fitness to the given input set of examples.
2 code implementations • 26 Jan 2023 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
First, the paper introduces a new pointer-based solution space for GP that is independent of the number of classical planning instances in a GP problem and the size of those instances (i. e. the number of objects, state variables and their domain sizes).
1 code implementation • 29 Jun 2022 • Javier Segovia-Aguas, Yolanda E-Martín, Sergio Jiménez
The paper introduces a novel representation for Generalized Planning (GP) problems, and their solutions, as C++ programs.
no code implementations • 12 May 2022 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
This paper adapts the planning as heuristic search paradigm to the particularities of GP, and presents the first native heuristic search approach to GP.
no code implementations • 10 May 2022 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson, Laura Sebastiá
In this paper we define a landmark counting heuristic for GP (that considers sub-goal information that is not explicitly represented in the planning instances), and a novel heuristic search algorithm for GP (that we call PGP) and that progressively processes subsets of the planning instances of a GP problem.
no code implementations • 17 May 2021 • Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas
Width-based search algorithms seek plans by prioritizing states according to a suitably defined measure of novelty, that maps states into a set of novelty categories.
no code implementations • 26 Mar 2021 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
First, the paper defines a novel GP solution space that is independent of the number of planning instances in a GP problem, and the size of these instances.
no code implementations • 14 Dec 2020 • Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà
It consists in recognizing, in an open world, the planning action that best explains a partially observable state transition from a knowledge library of first-order STRIPS actions, which is initially empty.
no code implementations • 30 Jan 2020 • Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà
This knowledge is usually handcrafted and is hard to keep updated, even for system experts.
1 code implementation • 21 Nov 2019 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
Generalized planning aims at computing an algorithm-like structure (generalized plan) that solves a set of multiple planning instances.
no code implementations • 7 Nov 2019 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
We show that hierarchical FSCs can represent generalized plans more compactly than individual FSCs.
no code implementations • 11 Oct 2019 • Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
Generalized planning is the task of generating a single solution that is valid for a set of planning problems.