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Documents publiés en "2024"

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Nombre de documents: 11

B

Barral, H., Gaha, M., Dems, A., Côté, A., Nguewouo, F., & Cappart, Q. (mai 2024). Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe

Boisvert, L., Verhaeghe, H., & Cappart, Q. (mai 2024). Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches [Communication écrite]. 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe

G

Garmendia, A. I., Cappart, Q., Ceberio, J., & Mendiburu, A. (août 2024). MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization [Communication écrite]. 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Republic of Korea. Lien externe

Garmendia, A. I., Morri, F., Cappart, Q., & Le Cadre, H. (2024). Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. Dans ECAI 2024 (Vol. 392, p. 2330-2337). Disponible

Gerbaux, J., Cappart, Q., & Desaulniers, G. (2024). A machine-learning-based column generation heuristic for electric bus scheduling. (Rapport technique n° G-2024-13). Lien externe

H

Hoppe, H., Enders, T., Cappart, Q., & Schiffer, M. (juillet 2024). Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems [Communication écrite]. 6th Annual Learning for Dynamics and Control Conference (L4DC 2024), Oxford, United kingdom. Lien externe

L

Larocque, R., Boulé, A.-M., & Cappart, Q. (2024). Estimating Road Construction Costs with Explainable Machine Learning. INFORMS Journal on Applied Analytics, 17 pages. Lien externe

M

Marty, T., Boisvert, L., François, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (2024). Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. Constraints, 27 pages. Disponible

P

Parjadis, A., Cappart, Q., Dilkina, B., Ferber, A., & Rousseau, L.-M. (septembre 2024). Learning Lagrangian Multipliers for the Travelling Salesman Problem [Communication écrite]. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Girona, Spain (18 pages). Lien externe

V

Verhaeghe, H., Cappart, Q., Pesant, G., & Quimper, C.-G. (septembre 2024). Learning Precedences for Scheduling Problems with Graph Neural Networks [Communication écrite]. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Girona, Spain (18 pages). Lien externe

Y

Yin, C., Cappart, Q., & Pesant, G. (mai 2024). An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe

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