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 | 340 | 2023 |
Learning the travelling salesperson problem requires rethinking generalization CK Joshi, Q Cappart, LM Rousseau, T Laurent Constraints 27 (1), 70-98, 2022 | 179 | 2022 |
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 | 141 | 2021 |
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 | 63 | 2019 |
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 | 40 | 2016 |
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 | 39 | 2015 |
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 | 34 | 2017 |
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 | 28 | 2021 |
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 | 23 | 2022 |
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 | 20 | 2018 |
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 | 16 | 2022 |
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 | 15 | 2019 |
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 | 12 | 2021 |
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 | 11 | 2022 |
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 | 7 | 2017 |
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 | 7 | 2015 |
A dedicated algorithm for verification of interlocking systems Q Cappart, P Schaus Computer Safety, Reliability, and Security: 35th International Conference …, 2016 | 5 | 2016 |
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 | 4 | 2024 |
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 | 4 | 2023 |