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ORCIDQuentin Cappart
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- affiliation: Polytechnique Montréal, Canada
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2020 – today
- 2025
[j6]Juliette Gerbaux, Guy Desaulniers
, Quentin Cappart:
A machine-learning-based column generation heuristic for electric bus scheduling. Comput. Oper. Res. 173: 106848 (2025)- 2024
- [j5]Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau:
Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim. 6(1): 1-18 (2024) - [c28]Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau:
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP 2024: 22:1-22:18 - [c27]Hélène Verhaeghe, Quentin Cappart, Gilles Pesant, Claude-Guy Quimper:
Learning Precedences for Scheduling Problems with Graph Neural Networks. CP 2024: 30:1-30:18 - [c26]Hugo Barral, Mohamed Gaha, Amira Dems, Alain Côté, Franklin Nguewouo, Quentin Cappart:
Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem. CPAIOR (1) 2024: 34-50 - [c25]Léo Boisvert, Hélène Verhaeghe, Quentin Cappart:
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. CPAIOR (1) 2024: 99-108 - [c24]Chao Yin, Quentin Cappart, Gilles Pesant:
An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems. CPAIOR (2) 2024: 279-288 - [c23]Andoni I. Garmendia, Francesco Morri, Quentin Cappart, Hélène Le Cadre:
Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. ECAI 2024: 2330-2337 - [c22]Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu:
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. IJCAI 2024: 6931-6939 - [c21]Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer:
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. L4DC 2024: 260-272 - [i18]Léo Boisvert, Hélène Verhaeghe, Quentin Cappart:
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. CoRR abs/2403.06026 (2024) - [i17]Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR abs/2403.07718 (2024) - [i16]Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin:
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR abs/2407.05291 (2024) - [i15]Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu:
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. CoRR abs/2408.02207 (2024) - [i14]Swann Bessa, Darius Dabert, Max Bourgeat, Louis-Martin Rousseau, Quentin Cappart:
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. CoRR abs/2408.12695 (2024) - 2023
- [j4]Isaac Rudich, Quentin Cappart, Louis-Martin Rousseau:
Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams. J. Artif. Intell. Res. 77: 1489-1538 (2023) - [j3]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. 24: 130:1-130:61 (2023) - [c20]Tom Marty, Tristan François, Pierre Tessier, Louis Gautier, Louis-Martin Rousseau, Quentin Cappart:
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver. CP 2023: 25:1-25:19 - [c19]Zahra Parham, Vi Tching de Lille, Quentin Cappart:
Explaining the Behavior of Reinforcement Learning Agents Using Association Rules. LION 2023: 107-120 - [c18]Augustin Parjadis, Quentin Cappart, Quentin Massoteau, Louis-Martin Rousseau:
Repositioning Fleet Vehicles: A Learning Pipeline. LION 2023: 301-317 - [i13]Tom Marty, Tristan François, Pierre Tessier, Louis Gautier, Quentin Cappart, Louis-Martin Rousseau:
Training a Deep Q-Learning Agent Inside a Generic Constraint Programming Solver. CoRR abs/2301.01913 (2023) - [i12]Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer:
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR abs/2312.08884 (2023) - [i11]Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau:
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR abs/2312.14836 (2023) - 2022
- [j2]Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent:
Learning the travelling salesperson problem requires rethinking generalization. Constraints An Int. J. 27(1-2): 70-98 (2022) - [j1]Quentin Cappart, David Bergman, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Augustin Parjadis:
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning. INFORMS J. Comput. 34(5): 2552-2570 (2022) - [c17]Louis Popovic, Alain Côté, Mohamed Gaha, Franklin Nguewouo, Quentin Cappart:
Scheduling the Equipment Maintenance of an Electric Power Transmission Network Using Constraint Programming. CP 2022: 34:1-34:15 - [c16]Isaac Rudich, Quentin Cappart, Louis-Martin Rousseau:
Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams. CP 2022: 35:1-35:20 - [i10]Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - 2021
- [c15]Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré:
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. AAAI 2021: 3677-3687 - [c14]Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent:
Learning TSP Requires Rethinking Generalization. CP 2021: 33:1-33:21 - [c13]Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau:
SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning. CPAIOR 2021: 392-409 - [c12]Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau, David Bergman:
Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. CPAIOR 2021: 446-455 - [c11]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI 2021: 4348-4355 - [c10]Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231 - [i9]Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau:
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning. CoRR abs/2102.09193 (2021) - [i8]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial optimization and reasoning with graph neural networks. CoRR abs/2102.09544 (2021) - [i7]Martin Ferianc, Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Quentin Cappart:
On Causal Inference for Data-free Structured Pruning. CoRR abs/2112.10229 (2021) - 2020
- [i6]Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André Augusto Ciré:
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. CoRR abs/2006.01610 (2020) - [i5]Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson:
Learning TSP Requires Rethinking Generalization. CoRR abs/2006.07054 (2020)
2010 – 2019
- 2019
- [c9]Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau:
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. AAAI 2019: 1443-1451 - [i4]Antoine François, Quentin Cappart, Louis-Martin Rousseau:
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem. CoRR abs/1909.13121 (2019) - 2018
- [c8]Quentin Cappart, Charles Thomas, Pierre Schaus, Louis-Martin Rousseau:
A Constraint Programming Approach for Solving Patient Transportation Problems. CP 2018: 490-506 - [c7]Quentin Cappart, John O. R. Aoga, Pierre Schaus:
EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events. CPAIOR 2018: 82-99 - [i3]Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau:
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. CoRR abs/1809.03359 (2018) - 2017
- [c6]Quentin Cappart, Pierre Schaus:
Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables. CPAIOR 2017: 312-327 - [c5]Quentin Cappart, Christophe Limbrée, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay:
Verification of Interlocking Systems Using Statistical Model Checking. HASE 2017: 61-68 - 2016
- [c4]Christophe Limbrée, Quentin Cappart, Charles Pecheur, Stefano Tonetta:
Verification of Railway Interlocking - Compositional Approach with OCRA. RSSRail 2016: 134-149 - [c3]Quentin Cappart, Pierre Schaus:
A Dedicated Algorithm for Verification of Interlocking Systems. SAFECOMP 2016: 76-87 - [i2]Quentin Cappart, Christophe Limbrée, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay:
Verification of interlocking systems using statistical model checking. CoRR abs/1605.02529 (2016) - [i1]Christophe Limbrée, Quentin Cappart, Charles Pecheur, Stefano Tonetta:
Verification of railway interlocking - Compositional approach with OCRA. CoRR abs/1605.06245 (2016) - 2015
- [c2]Quentin Cappart, Adrien Thonet:
The world migration network: Rankings, groups and gravity models. EUROCON 2015: 1-6 - [c1]Simon Busard, Quentin Cappart, Christophe Limbrée, Charles Pecheur, Pierre Schaus:
Verification of railway interlocking systems. ESSS 2015: 19-31
Coauthor Index
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last updated on 2024-10-28 21:16 CET by the dblp team
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