Quentin Cappart

64 papers A* 6A 8B 5Journal 31Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Column Generation Heuristic for Multi-depot Electric Bus Scheduling. CPAIOR (2) Yoann Sabatier Montanaro, Thomas Jacquet, Quentin Cappart, Guy Desaulniers
2025	J	`jnl`	A machine-learning-based column generation heuristic for electric bus scheduling. Comput. Oper. Res. Juliette Gerbaux, Guy Desaulniers, Quentin Cappart
2025	J	`jnl`	Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities. J. Artif. Intell. Res. Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros
2025	J	`jnl`	DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. CoRR Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham
2025	J	`jnl`	Estimating Road Construction Costs with Explainable Machine Learning. INFORMS J. Appl. Anal. Rosanne Larocque, Anne-Marie Boulé, Quentin Cappart
2025	A*	`conf`	Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. AAAI Swann Bessa, Darius Dabert, Max Bourgeat, Louis-Martin Rousseau, Quentin Cappart
2025	J	`jnl`	Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain. CoRR Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Nicolas Chapados, Quentin Cappart, Alexandre Lacoste, Krishnamurthy Dj Dvijotham, Alexandre Drouin
2025	—	`conf`	Shaping Reward Signals in Reinforcement Learning Using Constraint Programming. CPAIOR (2) Chao Yin, Quentin Cappart, Gilles Pesant
2025	J	`jnl`	The BrowserGym Ecosystem for Web Agent Research. Trans. Mach. Learn. Res. Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Lacoste, Massimo Caccia, Alexandre Drouin, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Graham Neubig, Quentin Cappart, Russ Salakhutdinov, Nicolas Chapados
2024	—	`conf`	Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem. CPAIOR (1) Hugo Barral, Mohamed Gaha, Amira Dems, Alain Côté, Franklin Nguewouo, Quentin Cappart
2024	—	`conf`	An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems. CPAIOR (2) Chao Yin, Quentin Cappart, Gilles Pesant
2024	J	`jnl`	Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim. Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau
2024	—	`conf`	Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. L4DC Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer
2024	A	`conf`	Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
2024	A	`conf`	Learning Precedences for Scheduling Problems with Graph Neural Networks. CP Hélène Verhaeghe, Quentin Cappart, Gilles Pesant, Claude-Guy Quimper
2024	J	`jnl`	Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. CoRR Swann Bessa, Darius Dabert, Max Bourgeat, Louis-Martin Rousseau, Quentin Cappart
2024	J	`jnl`	Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. Constraints An Int. J. Tom Marty, Léo Boisvert, Tristan François, Pierre Tessier, Louis Gautier, Louis-Martin Rousseau, Quentin Cappart
2024	A*	`conf`	MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. IJCAI Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. CoRR Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	The BrowserGym Ecosystem for Web Agent Research. CoRR Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste
2024	—	`conf`	Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. CPAIOR (1) Léo Boisvert, Hélène Verhaeghe, Quentin Cappart
2024	J	`jnl`	Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. CoRR Léo Boisvert, Hélène Verhaeghe, Quentin Cappart
2024	A	`conf`	Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. ECAI Andoni I. Garmendia, Francesco Morri, Quentin Cappart, Hélène Le Cadre
2024	A*	`conf`	WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. NeurIPS Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
2024	J	`jnl`	WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
2024	J	`jnl`	WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR 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
2023	J	`jnl`	Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2023	—	`conf`	Explaining the Behavior of Reinforcement Learning Agents Using Association Rules. LION Zahra Parham, Vi Tching de Lille, Quentin Cappart
2023	J	`jnl`	Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer
2023	J	`jnl`	Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams. J. Artif. Intell. Res. Isaac Rudich, Quentin Cappart, Louis-Martin Rousseau
2023	J	`jnl`	Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
2023	A	`conf`	Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver. CP Tom Marty, Tristan François, Pierre Tessier, Louis Gautier, Louis-Martin Rousseau, Quentin Cappart
2023	—	`conf`	Repositioning Fleet Vehicles: A Learning Pipeline. LION Augustin Parjadis, Quentin Cappart, Quentin Massoteau, Louis-Martin Rousseau
2023	J	`jnl`	Training a Deep Q-Learning Agent Inside a Generic Constraint Programming Solver. CoRR Tom Marty, Tristan François, Pierre Tessier, Louis Gautier, Quentin Cappart, Louis-Martin Rousseau
2022	J	`jnl`	Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning. INFORMS J. Comput. Quentin Cappart, David Bergman, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Augustin Parjadis
2022	J	`jnl`	Learning the travelling salesperson problem requires rethinking generalization. Constraints An Int. J. Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
2022	A	`conf`	Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams. CP Isaac Rudich, Quentin Cappart, Louis-Martin Rousseau
2022	A	`conf`	Scheduling the Equipment Maintenance of an Electric Power Transmission Network Using Constraint Programming. CP Louis Popovic, Alain Côté, Mohamed Gaha, Franklin Nguewouo, Quentin Cappart
2022	J	`jnl`	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR 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
2021	A*	`conf`	Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2021	J	`jnl`	Combinatorial optimization and reasoning with graph neural networks. CoRR Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2021	A*	`conf`	Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. AAAI Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré
2021	B	`conf`	Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. CPAIOR Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau, David Bergman
2021	A	`conf`	Learning TSP Requires Rethinking Generalization. CP Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent
2021	J	`jnl`	On Causal Inference for Data-free Structured Pruning. CoRR Martin Ferianc, Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Quentin Cappart
2021	B	`conf`	SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning. CPAIOR Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau
2021	J	`jnl`	SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning. CoRR Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau
2021	—	`conf`	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. CoRR Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André Augusto Ciré
2020	J	`jnl`	Learning TSP Requires Rethinking Generalization. CoRR Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson
2019	J	`jnl`	How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem. CoRR Antoine François, Quentin Cappart, Louis-Martin Rousseau
2019	A*	`conf`	Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. AAAI Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
2018	A	`conf`	A Constraint Programming Approach for Solving Patient Transportation Problems. CP Quentin Cappart, Charles Thomas, Pierre Schaus, Louis-Martin Rousseau
2018	B	`conf`	EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events. CPAIOR Quentin Cappart, John O. R. Aoga, Pierre Schaus
2018	J	`jnl`	Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. CoRR Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
2017	B	`conf`	Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables. CPAIOR Quentin Cappart, Pierre Schaus
2017	—	`conf`	Verification of Interlocking Systems Using Statistical Model Checking. HASE Quentin Cappart, Christophe Limbrée, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay
2017	—	`—`	Verification of railway interlocking systems and optimisation of railway traffic. Quentin Cappart
2016	B	`conf`	A Dedicated Algorithm for Verification of Interlocking Systems. SAFECOMP Quentin Cappart, Pierre Schaus
2016	—	`conf`	Verification of Railway Interlocking - Compositional Approach with OCRA. RSSRail Christophe Limbrée, Quentin Cappart, Charles Pecheur, Stefano Tonetta
2016	J	`jnl`	Verification of interlocking systems using statistical model checking. CoRR Quentin Cappart, Christophe Limbrée, Pierre Schaus, Jean Quilbeuf, Louis-Marie Traonouez, Axel Legay
2016	J	`jnl`	Verification of railway interlocking - Compositional approach with OCRA. CoRR Christophe Limbrée, Quentin Cappart, Charles Pecheur, Stefano Tonetta
2015	—	`conf`	The world migration network: Rankings, groups and gravity models. EUROCON Quentin Cappart, Adrien Thonet
2015	—	`conf`	Verification of railway interlocking systems. ESSS Simon Busard, Quentin Cappart, Christophe Limbrée, Charles Pecheur, Pierre Schaus