Quentin Cappart

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 47

Top Topics

Constraint Programming

Combinatorial Optimization

Decision Diagrams

Reinforcement Learning

Top Venues

Publications

Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. L4DC (2024)
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 (2024)
Chao Yin, Quentin Cappart, Gilles Pesant
An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems. CPAIOR (2) (2024)
Léo Boisvert, Hélène Verhaeghe, Quentin Cappart
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. CPAIOR (1) (2024)
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 (2024)
Hélène Verhaeghe, Quentin Cappart, Gilles Pesant, Claude-Guy Quimper
Learning Precedences for Scheduling Problems with Graph Neural Networks. CP (2024)
Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau
Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim. 6 (1) (2024)
Léo Boisvert, Hélène Verhaeghe, Quentin Cappart
Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. CoRR (2024)
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)
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP (2024)
Tom Marty, Tristan François, Pierre Tessier, Louis Gauthier, Quentin Cappart, Louis-Martin Rousseau
Training a Deep Q-Learning Agent Inside a Generic Constraint Programming Solver. CoRR (2023)
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR (2023)
Augustin Parjadis, Quentin Cappart, Quentin Massoteau, Louis-Martin Rousseau
Repositioning Fleet Vehicles: A Learning Pipeline. LION (2023)
Zahra Parham, Vi Tching de Lille, Quentin Cappart
Explaining the Behavior of Reinforcement Learning Agents Using Association Rules. LION (2023)
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 (2023)
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)
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 (2023)
Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR (2023)
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) (2022)
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)
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 Yangm, 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, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR (2022)
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) (2022)
Isaac Rudich, Quentin Cappart, Louis-Martin Rousseau
Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams. CP (2022)
Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning. CoRR (2021)
Martin Ferianc, Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Quentin Cappart
On Causal Inference for Data-free Structured Pruning. CoRR (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial optimization and reasoning with graph neural networks. CoRR (2021)
Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias 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)
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
Learning TSP Requires Rethinking Generalization. CP (2021)
Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau
SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning. CPAIOR (2021)
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. AAAI (2021)
Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau, David Bergman
Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. CPAIOR (2021)
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson
Learning TSP Requires Rethinking Generalization. CoRR (2020)
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André Augusto Ciré
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. CoRR (2020)
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. AAAI (2019)
Antoine François, Quentin Cappart, Louis-Martin Rousseau
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem. CoRR (2019)
Quentin Cappart, John O. R. Aoga, Pierre Schaus
EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events. CPAIOR (2018)
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. CoRR (2018)
Quentin Cappart, Charles Thomas, Pierre Schaus, Louis-Martin Rousseau
A Constraint Programming Approach for Solving Patient Transportation Problems. CP (2018)
Quentin Cappart, Christophe Limbrée, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay
Verification of Interlocking Systems Using Statistical Model Checking. HASE (2017)
Quentin Cappart, Pierre Schaus
Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables. CPAIOR (2017)
Quentin Cappart, Christophe Limbrée, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay
Verification of interlocking systems using statistical model checking. CoRR (2016)
Quentin Cappart, Pierre Schaus
A Dedicated Algorithm for Verification of Interlocking Systems. SAFECOMP (2016)
Christophe Limbrée, Quentin Cappart, Charles Pecheur, Stefano Tonetta
Verification of Railway Interlocking - Compositional Approach with OCRA. RSSRail (2016)
Christophe Limbrée, Quentin Cappart, Charles Pecheur, Stefano Tonetta
Verification of railway interlocking - Compositional approach with OCRA. CoRR (2016)
Quentin Cappart, Adrien Thonet
The world migration network: Rankings, groups and gravity models. EUROCON (2015)
Simon Busard, Quentin Cappart, Christophe Limbrée, Charles Pecheur, Pierre Schaus
Verification of railway interlocking systems. ESSS (2015)