Laëtitia Matignon

According to our database, Laëtitia Matignon authored at least 34 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Task-conditioned adaptation of visual features in multi-task policy learning.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf

CoRR, 2024

Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning.

Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

IEEE Trans. Cogn. Dev. Syst., December, 2023

An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

Entropy, February, 2023

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot

CoRR, 2023

Learning to identify and settle dilemmas through contextual user preferences.

Rémy Chaput, Laëtitia Matignon, Mathieu Guillermin

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Multi-Object Navigation with dynamically learned neural implicit representations.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms.

Guillaume Bono, Jilles Steeve Dibangoye, Olivier Simonin, Laëtitia Matignon, Florian Pereyron

IEEE Trans. Intell. Transp. Syst., 2021

2020

ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

A survey on intrinsic motivation in reinforcement learning.

Arthur Aubret, Laëtitia Matignon, Salima Hassas

CoRR, 2019

TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante.

Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas

CoRR, 2019

HEART: Using Abstract Plans as a Guarantee of Downward Refinement in Decompositional Planning.

Antoine Gréa, Samir Aknine, Laëtitia Matignon

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

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, Laëtitia Matignon, Salima Hassas

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

Context Aware Robot Architecture, Application to the RoboCup@Home Challenge.

Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Laëtitia Matignon, Eric Lombardi, Christian Wolf, Olivier Simonin

Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018

Cooperative Multi-agent Policy Gradient.

Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs.

Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin

Proceedings of the Journées Francophone Planification, 2018

Multi-Robot Simultaneous Coverage and Mapping of Complex Scene.

Laëtitia Matignon, Olivier Simonin

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies.

Laëtitia Matignon, Olivier Simonin

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Multi-robot human scene observation based on hybrid metric-topological mapping.

Laëtitia Matignon, Stephane D'Alu, Olivier Simonin

Proceedings of the 2017 European Conference on Mobile Robots, 2017

2016

Incremental and Adaptive Multi-Robot Mapping for Human Scene Observation.

Jonathan Cohen, Laëtitia Matignon, Olivier Simonin

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

Modeling Biological Agents Beyond the Reinforcement-learning Paradigm.

Olivier L. Georgeon, Rémi C. Casado, Laëtitia Matignon

Proceedings of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, 2015

2012

Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems.

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat

Knowl. Eng. Rev., 2012

Distributed value functions for multi-robot exploration.

Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Distributed value functions for the coordination of decentralized decision makers.

Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes.

Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

The world of independent learners is not markovian.

Guillaume J. Laurent, Laëtitia Matignon, Nadine Le Fort-Piat

Int. J. Knowl. Based Intell. Eng. Syst., 2011

2010

Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning.

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat, Yves-André Chapuis

J. Intell. Robotic Syst., 2010

Distributed control architecture for smart surfaces.

Kahina Boutoustous, Guillaume J. Laurent, Eugen Dedu, Laëtitia Matignon, Julien Bourgeois, Nadine Le Fort-Piat

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

A Model for Verbal and Non-Verbal Human-Robot Collaboration.

Laëtitia Matignon, Abir-Beatrice Karami, Abdel-Illah Mouaddib

Proceedings of the Dialog with Robots, 2010

2009

Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning.

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2007

Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams.

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006

Improving Reinforcement Learning Speed for Robot Control.

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning.

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat

Proceedings of the Artificial Neural Networks, 2006