Themes
- Distributed Artificial Intelligence (Multi-Agent Systems)
- Reinforcement Learning
- Autonomous and complex systems
- Modelling, simulation and cooperation
- Intelligent Transportation Systems
- Connected and Automated Vehicles
Projects
Ongoing
- ANR MultiTrans: Gradual Multi Transfer Learning for Safe Autonomous Driving, funded by the Agence Nationale de la Recherche, the French National Research Agency, under grant reference ANR-21-CE23-0032.
Past
- CAVIMAS: Connected and Autonomous Vehicles impact assessment on Irish roads through Multi-Agent traffic Simulation
- Surpass: How shared autonomous cars will transform cities
- SCOOP@F: the French pilot project for the deployment of cooperative intelligent transport systems
PhD students
Current
Marie Griffon (2025-2028) : “Multi-label classification using deep reinforcement learning: application to the generation of typologies in a recommendation system”
Adonis Kattan (2024-2027) : “Optimization of decision policy learning for a team of social robots”
Fatima-Ezzahra Maad (2024-2027) : “Transfert learning in mixed reality environnements for autonomous and connected driving strategies”
Corentin Bunel (2022-2025) : “Detecting the unknown objects with open-set object detection for autonomous driving systems”
Past
Imane Argui (defended in december 2024) : “A vision-based mixed-reality framework for testing autonomous driving systems”