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Quentin Cappart
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Combinatorial optimization and reasoning with graph neural networks
Q Cappart, D Chételat, E Khalil, A Lodi, C Morris, P Veličković
Journal of Machine Learning Research 24 (130), 1--61, 2023
4152023
Learning the travelling salesperson problem requires rethinking generalization
CK Joshi, Q Cappart, LM Rousseau, T Laurent
Constraints 27 (1), 70-98, 2022
2132022
Combining reinforcement learning and constraint programming for combinatorial optimization
Q Cappart, T Moisan, LM Rousseau, I Prémont-Schwarz, AA Cire
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3677-3687, 2021
1672021
OscaR: Scala in OR, 2012
OR Team
120
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Q Cappart, E Goutierre, D Bergman, LM Rousseau
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1443 …, 2019
722019
Verification of railway interlocking-compositional approach with OCRA
C Limbrée, Q Cappart, C Pecheur, S Tonetta
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis …, 2016
442016
Verification of railway interlocking systems
S Busard, Q Cappart, C Limbrée, C Pecheur, P Schaus
Electronic Proceedings in Theoretical Computer Science 184, 19-31, 2015
422015
Verification of interlocking systems using statistical model checking
Q Cappart, C Limbrée, P Schaus, J Quilbeuf, LM Traonouez, A Legay
2017 IEEE 18th International Symposium on High Assurance Systems Engineering …, 2017
382017
Seapearl: A constraint programming solver guided by reinforcement learning
F Chalumeau, I Coulon, Q Cappart, LM Rousseau
Integration of Constraint Programming, Artificial Intelligence, and …, 2021
322021
The machine learning for combinatorial optimization competition (ml4co): Results and insights
M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ...
NeurIPS 2021 competitions and demonstrations track, 220-231, 2022
292022
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
A Drouin, M Gasse, M Caccia, IH Laradji, M Del Verme, T Marty, ...
ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024
212024
Improving variable orderings of approximate decision diagrams using reinforcement learning
Q Cappart, D Bergman, LM Rousseau, I Prémont-Schwarz, A Parjadis
INFORMS Journal on Computing 34 (5), 2552-2570, 2022
212022
A constraint programming approach for solving patient transportation problems
Q Cappart, C Thomas, P Schaus, LM Rousseau
Principles and Practice of Constraint Programming: 24th International …, 2018
212018
How to evaluate machine learning approaches for combinatorial optimization: Application to the travelling salesman problem
A François, Q Cappart, LM Rousseau
arXiv preprint arXiv:1909.13121, 2019
172019
Improving branch-and-bound using decision diagrams and reinforcement learning
A Parjadis, Q Cappart, LM Rousseau, D Bergman
Integration of Constraint Programming, Artificial Intelligence, and …, 2021
142021
Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams
I Rudich, Q Cappart, LM Rousseau
28th International Conference on Principles and Practice of Constraint …, 2022
132022
Improved Peel-and-Bound: Methods for generating dual bounds with multivalued decision diagrams
I Rudich, Q Cappart, LM Rousseau
Journal of Artificial Intelligence Research 77, 1489-1538, 2023
82023
Rescheduling railway traffic on real time situations using time-interval variables
Q Cappart, P Schaus
Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017
82017
Learning a generic value-selection heuristic inside a constraint programming solver
T Marty, T François, P Tessier, L Gauthier, LM Rousseau, Q Cappart
29th International Conference on Principles and Practice of Constraint …, 2023
72023
Verification by discrete simulation of interlocking systems
Q Cappart, C Limbrée, P Schaus, A Legay
29th Annual European Simulation and Modelling Conference 2015, 402-409, 2015
72015
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