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A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks.

T. Fournier, A. Lallouet, T. Cropsal, G. Glorian, A. Papadopoulos, A. Petitet, G. Perez, S. Sekar, and W. Suijlen. ICTAI, page 1218-1222. IEEE, (2022)

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Gaël Ecorchard

Gaël Sauvanet

Gaël Hammer

Yves-Gaël Billet

Gaël Kaneko

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A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks.T. Fournier, A. Lallouet, T. Cropsal, G. Glorian, A. Papadopoulos, A. Petitet, G. Perez, S. Sekar, and W. Suijlen. ICTAI, page 1218-1222. IEEE, (2022)Distribution Optimization in Constraint Programming.G. Perez, G. Glorian, W. Suijlen, and A. Lallouet. CP, volume 280 of LIPIcs, page 29:1-29:19. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)The Dungeon Variations Problem Using Constraint Programming.G. Glorian, A. Debesson, S. Yvon-Paliot, and L. Simon. CP, volume 210 of LIPIcs, page 27:1-27:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)A Constraint Programming Model for Scheduling the Unloading of Trains in Ports.G. Perez, G. Glorian, W. Suijlen, and A. Lallouet. ICTAI, page 693-699. IEEE, (2023)A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended.G. Perez, G. Glorian, W. Suijlen, and A. Lallouet. CoRR, (2023)Hybridation de techniques d'apprentissage de clauses en programmation par contraintes. (Hybridization of clause learning techniques in constraint programming).G. Glorian. Artois University, Arras, France, (2019)NACRE - A Nogood And Clause Reasoning Engine.G. Glorian, J. Lagniez, and C. Lecoutre. LPAR, volume 73 of EPiC Series in Computing, page 249-259. EasyChair, (2020)An Incremental SAT-Based Approach to Reason Efficiently on Qualitative Constraint Networks.G. Glorian, J. Lagniez, V. Montmirail, and M. Sioutis. CP, volume 11008 of Lecture Notes in Computer Science, page 160-178. Springer, (2018)Generalized Confidence Constraints.G. Perez, S. Malalel, G. Glorian, V. Jung, A. Papadopoulos, M. Pelleau, W. Suijlen, J. Régin, and A. Lallouet. AAAI, page 4078-4086. AAAI Press, (2023)Combining Nogoods in Restart-Based Search.G. Glorian, F. Boussemart, J. Lagniez, C. Lecoutre, and B. Mazure. CP, volume 10416 of Lecture Notes in Computer Science, page 129-138. Springer, (2017)

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Disambiguation of "Glorian, Gaël"

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A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks.

Please choose a person to relate this publication to

Gaël Ecorchard

Gaël Sauvanet

Gaël Hammer

Yves-Gaël Billet

Gaël Kaneko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Glorian, Gaël"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks.

Please choose a person to relate this publication to

Gaël Ecorchard

Gaël Sauvanet

Gaël Hammer

Yves-Gaël Billet

Gaël Kaneko

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks.