Laëtitia Matignon

43 papers A* 4A 11B 2C 2Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Reinforcement Learning Simulator for Multi-UAV Based Network Coverage Problem. MSWiM Dorian Tonnis, Loïc Desgeorges, Isabelle Guérin Lassous, Laëtitia Matignon
2024	A	`conf`	Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. AAMAS Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan
2024	J	`jnl`	Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. CoRR Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan
2024	A	`conf`	AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. IROS Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot
2024	A*	`conf`	Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning. CVPR Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
2024	J	`jnl`	Task-conditioned adaptation of visual features in multi-task policy learning. CoRR Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
2023	J	`jnl`	An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey. Entropy Arthur Aubret, Laëtitia Matignon, Salima Hassas
2023	J	`jnl`	AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. CoRR Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot
2023	J	`jnl`	DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills. IEEE Trans. Cogn. Dev. Syst. Arthur Aubret, Laëtitia Matignon, Salima Hassas
2023	B	`conf`	Learning to identify and settle dilemmas through contextual user preferences. ICTAI Rémy Chaput, Laëtitia Matignon, Mathieu Guillermin
2023	A*	`conf`	Multi-Object Navigation with dynamically learned neural implicit representations. ICCV Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
2022	J	`jnl`	An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2022	J	`jnl`	Multi-Object Navigation with dynamically learned neural implicit representations. CoRR Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
2022	A	`conf`	Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. IROS Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
2021	J	`jnl`	DisTop: Discovering a Topological representation to learn diverse and rewarding skills. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2021	J	`jnl`	Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. Guillaume Bono, Jilles Steeve Dibangoye, Olivier Simonin, Laëtitia Matignon, Florian Pereyron
2021	J	`jnl`	Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. CoRR Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
2020	—	`conf`	ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation. ECML/PKDD (2) Arthur Aubret, Laëtitia Matignon, Salima Hassas
2020	J	`jnl`	ELSIM: End-to-end learning of reusable skills through intrinsic motivation. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2019	J	`jnl`	A survey on intrinsic motivation in reinforcement learning. CoRR Arthur Aubret, Laëtitia Matignon, Salima Hassas
2019	—	`conf`	HEART: Using Abstract Plans as a Guarantee of Downward Refinement in Decompositional Planning. ICAART (2) Antoine Gréa, Samir Aknine, Laëtitia Matignon
2019	J	`jnl`	TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante. CoRR Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas
2019	C	`conf`	TSRuleGrowth: Mining Partially-Ordered Prediction Rules From a Time Series of Discrete Elements, Application to a Context of Ambient Intelligence. ADMA Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas
2018	C	`conf`	Context Aware Robot Architecture, Application to the RoboCup@Home Challenge. RoboCup Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Laëtitia Matignon, Eric Lombardi, Christian Wolf, Olivier Simonin
2018	—	`conf`	Cooperative Multi-agent Policy Gradient. ECML/PKDD (1) Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin
2018	A	`conf`	Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies. AAMAS Laëtitia Matignon, Olivier Simonin
2018	A	`conf`	Multi-Robot Simultaneous Coverage and Mapping of Complex Scene. AAMAS Laëtitia Matignon, Olivier Simonin
2018	—	`conf`	Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs. JFPDA Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin
2017	—	`conf`	Multi-robot human scene observation based on hybrid metric-topological mapping. ECMR Laëtitia Matignon, Stephane D'Alu, Olivier Simonin
2016	B	`conf`	Incremental and Adaptive Multi-Robot Mapping for Human Scene Observation. ICTAI Jonathan Cohen, Laëtitia Matignon, Olivier Simonin
2015	—	`conf`	Modeling Biological Agents Beyond the Reinforcement-learning Paradigm. BICA Olivier L. Georgeon, Rémi C. Casado, Laëtitia Matignon
2012	A*	`conf`	Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. AAAI Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib
2012	A*	`conf`	Distributed value functions for multi-robot exploration. ICRA Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib
2012	A	`conf`	Distributed value functions for the coordination of decentralized decision makers. AAMAS Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib
2012	J	`jnl`	Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems. Knowl. Eng. Rev. Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
2011	J	`jnl`	The world of independent learners is not markovian. Int. J. Knowl. Based Intell. Eng. Syst. Guillaume J. Laurent, Laëtitia Matignon, Nadine Le Fort-Piat
2010	—	`conf`	A Model for Verbal and Non-Verbal Human-Robot Collaboration. AAAI Fall Symposium: Dialog with Robots Laëtitia Matignon, Abir-Beatrice Karami, Abdel-Illah Mouaddib
2010	J	`jnl`	Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning. J. Intell. Robotic Syst. Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat, Yves-André Chapuis
2010	A	`conf`	Distributed control architecture for smart surfaces. IROS Kahina Boutoustous, Guillaume J. Laurent, Eugen Dedu, Laëtitia Matignon, Julien Bourgeois, Nadine Le Fort-Piat
2009	A	`conf`	Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning. IROS Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
2007	A	`conf`	Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams. IROS Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
2006	A	`conf`	Improving Reinforcement Learning Speed for Robot Control. IROS Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
2006	—	`conf`	Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning. ICANN (1) Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat