Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits. Thibaut Cuvelier, Richard Combes, Éric Gourdin. ACM SIGMETRICS 2021, Beijing (China), June 2021. ACM Digital Library. DOI. Kudos. arXiv (PDF). HAL (PDF).
Embedding reservoirs in industrial models to exploit their flexibility. Thibaut Cuvelier. SN Applied Sciences, volume 2, article number 2171, December 2020. Springer. DOI. Kudos. arXiv (PDF). HAL (PDF).
Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas. IEEE Transactions on Network and Service Management, vol. 18, no. 2, June 2021. IEEE Xplore. HAL (PDF).
Comparison Between Robust and Stochastic Optimisation for Long-term Reservoir Operations Under Uncertainty. Thibaut Cuvelier, Pierre Archambeau, Benjamin Dewals, Quentin Louveaux. Water Resources Management, vol. 32, no. 5, pp. 1599–1614, March 2018. Springer. arXiv (PDF). ORBi (PDF). HAL (PDF).
Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time. Thibaut Cuvelier, Richard Combes, Éric Gourdin. Algorithmic Learning Theory (ALT), Paris (France), March 2021. Journal of Machine Learning. arXiv (PDF). HAL (PDF). Presentation at ALT 2021.
Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits. Thibaut Cuvelier, Richard Combes, Éric Gourdin. ACM SIGMETRICS 2021, Beijing (China), June 2021. ACM Digital Library. DOI. HAL (PDF).
ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. Sarah Wassermann, Thibaut Cuvelier, Pedro Casas, Pavol Mulinka. 15th International Conference on Network and Service Management (CNSM) 2019, Halifax (Canada), October 2019. HAL (PDF).
Middle-Mile Logistics Through the Lens of Goal-Conditioned Reinforcement Learning. Onno Eberhard, Thibaut Cuvelier, Michal Valko, Bruno De Backer. NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning, November 2023. HAL (PDF).
RAL: Improving Stream-Based Active Learning by Reinforcement Learning. Sarah Wassermann, Thibaut Cuvelier, Pedro Casas. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Workshop on Interactive Adaptive Learning (IAL), Würzburg (Germany), September 2019. IAL 2019 proceedings. HAL (PDF).
NETPerfTrace — Predicting Internet Path Dynamics and Performance with Machine Learning. Sarah Wassermann, Pedro Casas, Thibaut Cuvelier, Benoît Donnet. ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication (Big-DAMA), Los Angeles (USA), August 2017. ACM Digital Library. ORBi (PDF).
A Novel Instance Generator for Simulating Middle-Mile Logistics Networks. Aymane Lotfi, Petris Matteo, Thibaut Cuvelier, Bruno De Backer, Claudia Archetti. 33rd European Conference on Operational Research. HAL (PDF).
A Tale of Middle-Mile Logistics, Graph Neural Networks, and Reinforcement Learning. Onno Eberhard, Thibaut Cuvelier, Bruno De Backer. 33rd European Conference on Operational Research. HAL (PDF).
OR-Tools’ Vehicle Routing Solver: a Generic Constraint-Programming Solver with Heuristic Search for Routing Problems. Thibaut Cuvelier, Frederic Didier, Vincent Furnon, Steven Gay, Sarah Mohajeri, Laurent Perron. Congrès de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF) 2023, February 2023. HAL (PDF).
ConstraintProgrammingExtensions.jl: An MOI/JuMP extension for constraint programming. Thibaut Cuvelier. JuliaCon 2021, July 2021. PreTalx. HAL (PDF).
Improving Stream-Based Active Learning with Reinforcement Learning. Sarah Wassermann, Thibaut Cuvelier, Pedro Casas. Workshop for Women in Machine Learning (WiML) 2019. HAL (PDF).
Operation rules of the Vesdre reservoir revisited. Benjamin Dewals, Thibaut Cuvelier, Pierre Archambeau, Sébastien Erpicum, Michel Pirotton, Quentin Louveaux. 6th International Symposium on Hydrological Modelling of the Meuse basin, September 2019. ORBi (PDF).
Comparing Oblivious and Robust Routing Approaches. Thibaut Cuvelier, Éric Gourdin. Programme Gaspard Monge pour l’optimisation, la recherche opérationnelle et leurs interactions avec les sciences des données (PGMO Days) 2018, November 2018. ORBi (PDF).
Retour d’expérience sur Julia pour la recherche et l’enseignement en recherche opérationnelle. Thibaut Cuvelier. Congrès de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF) 2018, February 2018. ORBi (PDF).
Optimising workforce and energy costs by exploiting production flexibility. Thibaut Cuvelier, Quentin Louveaux. 21st Conference of the International Federation of Operational Research Societies (IFORS), Québec (Canada), July 2017. ORBi (PDF).
Modelling the industrial flexibility from the electricity consumption and HR points of view. Thibaut Cuvelier, Quentin Louveaux. 22nd Belgian Mathematical Optimization Workshop, COMEX (combinatorial optimisation: metaheuristics and exact methods), La Roche-en-Ardenne (Belgium), April 2017. ORBi (PDF).
Optimisation and uncertainty: comparing stochastic and robust programming. Thibaut Cuvelier. 30th Annual Conference of the Belgian Operational Research Society (ORBEL), Louvain-la-Neuve (Belgium), January 2016. ORBi (PDF).
RAL — Reinforcement Active Learning for Network Traffic Monitoring and Analysis. Sarah Wassermann, Thibaut Cuvelier, Pedro Casas. Proceedings of the ACM SIGCOMM Conference Posters and Demos, online, August 2020. HAL (PDF).
Oblivious Routing: Static Routing Prepared Against Network Traffic and Link Failures. Thibaut Cuvelier, Éric Gourdin. Network Traffic Measurement and Analysis (TMA) PhD School 2019, Paris (France), June 2019. HAL (PDF).
Oblivious Routing: Worst-Case Routing is not Breaking the Internet’s Legs. Thibaut Cuvelier, Éric Gourdin. Network Traffic Measurement and Analysis (TMA) PhD School 2018, Vienna (Austria), June 2018. ORBi (PDF). HAL (PDF).
Characterising Industrial Sites’ Flexibility with Reservoir Models. Thibaut Cuvelier. DS3 Data Science Summer School (École Polytechnique), Paris (France), August 2017. ORBi (PDF).
Polynomial-Time Algorithms for Combinatorial Semibandits: Computationally Tractable Reinforcement Learning in Complex Environments (official title: Algorithmes en temps polynomial pour les semi-bandits combinatoires : apprentissage par renforcement efficace dans des environnements complexes). Thibaut Cuvelier. PhD dissertation, university Paris-Saclay, June 2021. HAL (PDF).
Implementing and Comparing Stochastic and Robust Programming. Thibaut Cuvelier. Engineering degree dissertation, university of Liège, June 2015. ORBi (PDF).
Créer des applications graphiques en Python avec PyQt5. Thibaut Cuvelier, Pierre Denis. Published by D-BookeR, March 2017. ISBN-13: 978-2-8227-0518-9.
Créer des applications avec Qt 5 – les essentiels. Guillaume Belz, Thibaut Cuvelier, Ilya Diallo, Louis du Verdier, Vincent Meyer, Florent Renault. Published by D-BookeR, November 2013. ISBN-13: 978-2-8227-0108-2.
Web sémantique : méthodes et outils pour le Web de données. Tom Heath, Christian Bizier; translated by Thibaut Cuvelier, Julien Plu, Antoine Seilles. Published by Pearson, May 2012. ISBN-13: 978-2-7440-2519-8.
Applications of Reinforcement Learning to Combinatorial Optimization. Thibaut Cuvelier, Bruno De Backer, Onno Eberhard, Aymane Lotfi. CNRS + Google, May 2024. PDF.
A Journey through Uncertain Optimisation. Thibaut Cuvelier. Amazon Transport Services, Luxembourg (Luxembourg), November 2023. PDF.
OR-Tools’ Vehicle Routing Solver: a Generic Constraint-Programming Solver with Heuristic Search for Routing Problems. Thibaut Cuvelier, Frederic Didier, Vincent Furnon, Steven Gay, Sarah Mohajeri, Laurent Perron. Congrès de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF) 2023, February 2023. HAL (PDF).
Seleroute.jl, a generic package for network-routing optimisation. Thibaut Cuvelier. Julia and Optimization Days 2023. HAL (PDF).
À la découverte de Julia. Thibaut Cuvelier. Datacraft, November 2022. Datacraft. Presentation (PDF). YouTube recording. Notebooks.
Polynomial-Time Combinatorial Bandits: Computationally Tractable Reinforcement Learning in Complex Environments. Thibaut Cuvelier. Amazon Transport Services, Luxembourg (Luxembourg), March 2021. PDF.
Statistically Efficient, Polynomial-Time Algorithms for Combinatorial Semi-Bandits. Richard Combes, Thibaut Cuvelier, Éric Gourdin. Stochastic Networks, Applied Probability, and Performance Seminar, September 2020. SNAPP Seminar. Recorded presentation.
Voyage incertain : découvrir l’optimisation stochastique et robuste. Thibaut Cuvelier. Orange Labs, Châtillon (France), February 2018. ORBi (PDF).
A Journey through Julia. Thibaut Cuvelier. IEEE Student Branch Liège (Belgium), May 2017. ORBi (PDF).
A Journey through Julia. Thibaut Cuvelier. Geeks anonymes, Liège (Belgium), November2016. ORBi (PDF).