| 2025 | MSWIM | A Reinforcement Learning Simulator for Multi-UAV Based Network Coverage Problem. | Dorian Tonnis, Loc Desgeorges, Isabelle Gurin Lassous, Latitia Matignon |
| 2024 | CVPR | Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning. | Pierre Marza, Latitia Matignon, Olivier Simonin, Christian Wolf |
| 2024 | IROS | AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. | Pierre Marza, Latitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot |
| 2023 | ICCV | Multi-Object Navigation with dynamically learned neural implicit representations. | Pierre Marza, Latitia Matignon, Olivier Simonin, Christian Wolf |
| 2023 | ICTAI | Learning to identify and settle dilemmas through contextual user preferences. | Rmy Chaput, Latitia Matignon, Mathieu Guillermin |
| 2022 | IROS | Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. | Pierre Marza, Latitia Matignon, Olivier Simonin, Christian Wolf |
| 2019 | ADMA | TSRuleGrowth: Mining Partially-Ordered Prediction Rules From a Time Series of Discrete Elements, Application to a Context of Ambient Intelligence. | Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Latitia Matignon, Salima Hassas |
| 2019 | ICAART | HEART: Using Abstract Plans as a Guarantee of Downward Refinement in Decompositional Planning. | Antoine Gra, Samir Aknine, Latitia Matignon |
| 2018 | RoboCup | Context Aware Robot Architecture, Application to the RoboCup@Home Challenge. | Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Latitia Matignon, Eric Lombardi, Christian Wolf, Olivier Simonin |
| 2016 | ICTAI | Incremental and Adaptive Multi-Robot Mapping for Human Scene Observation. | Jonathan Cohen, Latitia Matignon, Olivier Simonin |
| 2012 | AAAI | Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. | Latitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib |
| 2012 | AAMAS | Distributed value functions for the coordination of decentralized decision makers. | Latitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib |
| 2012 | ICRA | Distributed value functions for multi-robot exploration. | Latitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib |
| 2010 | IROS | Distributed control architecture for smart surfaces. | Kahina Boutoustous, Guillaume J. Laurent, Eugen Dedu, Latitia Matignon, Julien Bourgeois, Nadine Le Fort-Piat |
| 2009 | IROS | Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning. | Latitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat |
| 2007 | IROS | Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams. | Latitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat |
| 2006 | ICANN | Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning. | Latitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat |
| 2006 | IROS | Improving Reinforcement Learning Speed for Robot Control. | Latitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat |