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Towards a Generic Representation of Combinatorial Problems for
  Learning-Based Approaches

Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches

9 March 2024
Léo Boisvert
Hélene Verhaeghe
Quentin Cappart
ArXivPDFHTML

Papers citing "Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches"

6 / 6 papers shown
Title
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
42
0
0
20 Mar 2025
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Yudong Xu
Wenhao Li
Scott Sanner
Elias Boutros Khalil
39
0
0
18 Feb 2025
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
48
10
0
21 Jun 2024
Learning a Generic Value-Selection Heuristic Inside a Constraint
  Programming Solver
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
Tom Marty
Tristan François
Pierre Tessier
Louis Gautier
Louis-Martin Rousseau
Quentin Cappart
38
7
0
05 Jan 2023
SeaPearl: A Constraint Programming Solver guided by Reinforcement
  Learning
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
Félix Chalumeau
Ilan Coulon
Quentin Cappart
Louis-Martin Rousseau
36
21
0
18 Feb 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,811
0
25 Nov 2016
1