Laëtitia Matignon

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 26

Top Topics

Uncertain Environments

Intrinsic Motivation

Multi Robot Exploration

Top Venues

IEEE Trans. Cogn. Dev. Syst.

Publications

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
Task-conditioned adaptation of visual features in multi-task policy learning. CoRR (2024)
Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. CoRR (2024)
Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. AAMAS (2024)
Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot
AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. CoRR (2023)
Arthur Aubret, Laëtitia Matignon, Salima Hassas
An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey. Entropy 25 (2) (2023)
Rémy Chaput, Laëtitia Matignon, Mathieu Guillermin
Learning to identify and settle dilemmas through contextual user preferences. ICTAI (2023)
Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
Multi-Object Navigation with dynamically learned neural implicit representations. ICCV (2023)
Arthur Aubret, Laëtitia Matignon, Salima Hassas
DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills. IEEE Trans. Cogn. Dev. Syst. 15 (4) (2023)
Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
Multi-Object Navigation with dynamically learned neural implicit representations. CoRR (2022)
Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. IROS (2022)
Arthur Aubret, Laëtitia Matignon, Salima Hassas
DisTop: Discovering a Topological representation to learn diverse and rewarding skills. CoRR (2021)
Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. CoRR (2021)
Guillaume Bono, Jilles Steeve Dibangoye, Olivier Simonin, Laëtitia Matignon, Florian Pereyron
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. 22 (12) (2021)
Arthur Aubret, Laëtitia Matignon, Salima Hassas
ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation. ECML/PKDD (2) (2020)
Arthur Aubret, Laëtitia Matignon, Salima Hassas
ELSIM: End-to-end learning of reusable skills through intrinsic motivation. CoRR (2020)
Arthur Aubret, Laëtitia Matignon, Salima Hassas
A survey on intrinsic motivation in reinforcement learning. CoRR (2019)
Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas
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 (2019)
Antoine Gréa, Samir Aknine, Laëtitia Matignon
HEART: Using Abstract Plans as a Guarantee of Downward Refinement in Decompositional Planning. ICAART (2) (2019)
Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas
TSRuleGrowth: Mining Partially-Ordered Prediction Rules From a Time Series of Discrete Elements, Application to a Context of Ambient Intelligence. ADMA (2019)
Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Laëtitia Matignon, Eric Lombardi, Christian Wolf, Olivier Simonin
Context Aware Robot Architecture, Application to the RoboCup@Home Challenge. RoboCup (2018)
Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin
Cooperative Multi-agent Policy Gradient. ECML/PKDD (1) (2018)
Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin
Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs. JFPDA (2018)
Laëtitia Matignon, Olivier Simonin
Multi-Robot Simultaneous Coverage and Mapping of Complex Scene. AAMAS (2018)
Laëtitia Matignon, Olivier Simonin
Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies. AAMAS (2018)
Laëtitia Matignon, Stephane D'Alu, Olivier Simonin
Multi-robot human scene observation based on hybrid metric-topological mapping. ECMR (2017)
Jonathan Cohen, Laëtitia Matignon, Olivier Simonin
Incremental and Adaptive Multi-Robot Mapping for Human Scene Observation. ICTAI (2016)
Olivier L. Georgeon, Rémi C. Casado, Laëtitia Matignon
Modeling Biological Agents Beyond the Reinforcement-learning Paradigm. BICA (2015)
Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib
Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. AAAI (2012)
Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib
Distributed value functions for the coordination of decentralized decision makers. AAMAS (2012)
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems. Knowl. Eng. Rev. 27 (1) (2012)
Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib
Distributed value functions for multi-robot exploration. ICRA (2012)
Guillaume J. Laurent, Laëtitia Matignon, Nadine Le Fort-Piat
The world of independent learners is not markovian. Int. J. Knowl. Based Intell. Eng. Syst. 15 (1) (2011)
Laëtitia Matignon, Abir-Beatrice Karami, Abdel-Illah Mouaddib
A Model for Verbal and Non-Verbal Human-Robot Collaboration. AAAI Fall Symposium: Dialog with Robots (2010)
Kahina Boutoustous, Guillaume J. Laurent, Eugen Dedu, Laëtitia Matignon, Julien Bourgeois, Nadine Le Fort-Piat
Distributed control architecture for smart surfaces. IROS (2010)
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat, Yves-André Chapuis
Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning. J. Intell. Robotic Syst. 59 (2) (2010)
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning. IROS (2009)
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams. IROS (2007)
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
Improving Reinforcement Learning Speed for Robot Control. IROS (2006)
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning. ICANN (1) (2006)