Nombre de documents

39


Article dans une revue6 documents

  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Decentralized multi-robot planning to explore and perceive. Acta Polytechnica, 2015, 55 (3), pp.169-176. 〈10.14311/AP.2015.55.0169〉. 〈hal-01200755〉
  • Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat. Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems.. Knowledge Engineering Review, Cambridge University Press (CUP), 2012, 27 (1), pp.1-31. 〈10.1017/S026988891200057〉. 〈hal-00720669〉
  • Guillaume J. Laurent, Laëtitia Matignon, Nadine Le Fort-Piat. The world of Independent learners is not Markovian.. International Journal of Knowledge-Based and Intelligent Engineering Systems, IOS Press, 2011, 15 (1), pp.55-64. 〈10.3233/KES-2010-0206〉. 〈hal-00601941〉
  • L. Matignon, G.J. Laurent, N. Le Fort-Piat, Y.A. Chapuis. Designing decentralized controllers for distributed-air-jet MEMS-based micromanipulators by reinforcement learning. J. Intell. Robot. Syst., 2010, 59, pp.145-146. 〈hal-00511907〉
  • 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.. Journal of Intelligent and Robotic Systems, Springer Verlag (Germany), 2010, 59 (2), pp.145-166. 〈10.1007/s10846-010-9396-9〉. 〈hal-00547083〉
  • Laëtitia Matignon, Guillaume Laurent, Nadine Le Fort - Piat. Reward function and initial values : Better choices for accelerated Goal-directed reinforcement learning.. Lecture notes in computer science, springer, 2006, 1 (4131), pp.840-849. 〈hal-00331752v2〉

Communication dans un congrès29 documents

  • Laëtitia Matignon, Olivier Simonin. Multi-Robot Simultaneous Coverage and Mapping of Complex Scene. AAMAS 2018 - 17th International Conference on Autonomous Agents and Multiagent Systems - Demonstration, Jul 2018, Stockholm, Sweden. pp.559-567, Proc. of the 17th International Conference on Autonomous Agents and Multiagent Systems. 〈hal-01774799〉
  • Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Laëtitia Matignon, Eric Lombardi, et al.. Context Aware Robot Architecture, Application to the RoboCup@Home Challenge. RoboCup symposium, Jun 2018, Montreal, Canada. pp.1-12. 〈hal-01832613〉
  • Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin. SULFR: Simulation of Urban Logistic For Reinforcement. PGMRL 2018Workshop on Prediction and Generative Modeling in Reinforcement Learning, Jul 2018, Stockholm, Sweden. pp.1-5. 〈hal-01847773v2〉
  • Guillaume Bono, Jilles Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin. Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs. JFPDA 2018 - Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, Jul 2018, Nancy, France. pp.1-13. 〈hal-01840852〉
  • Laëtitia Matignon, Olivier Simonin. Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies. M. Dastani; G. Sukthankar; E. Andre; S. Koenig. AAMAS 2018 - 17th International Conference on Autonomous Agents and Multiagent Systems - Robotics Track, Jul 2018, Stockholm, Sweden. ACM, AAMAS '18 Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, pp.559-567, 〈http://celweb.vuse.vanderbilt.edu/aamas18/〉. 〈hal-01726120〉
  • Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin. Cooperative Multi-Agent Policy Gradient. Michele Berlingerio; Francesco Bonchi; Edward Curry; Thomas Gärtner; Georgiana Ifrim; Alice Marascu. ECML-PKDD 2018 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. Springer, 2018, LNCS Proceedings of ECML-PKDD. 〈hal-01847775〉
  • Antoine Grea, Laëtitia Matignon, Samir Aknine. How explainable plans can make planning faster. Workshop on Explainable Artificial Intelligence, Jul 2018, Stockholm, Sweden. pp.58, 2018, 〈http://home.earthlink.net/~dwaha/research/meetings/faim18-xai/〉. 〈hal-01878646〉
  • Antoine Grea, Laëtitia Matignon, Samir Aknine. HEART: HiErarchical Abstraction for Real-Time Partial Order Causal Link Planning. 1st Workshop on Hierarchical Planning at 28th International Conference on Automated Planning and Scheduling (ICAPS), Jun 2018, Delft, Netherlands. pp.17-25, Proceedings of the 1st ICAPS Workshop on Hierarchical Planning. 〈hal-01834701〉
  • Laëtitia Matignon, Stéphane D'Alu, Olivier Simonin. Multi-robot human scene observation based on hybrid metric-topological mapping. European Conference on Mobile Robotics, Sep 2017, Paris, France. 〈hal-01553064〉
  • Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin. Classification des problèmes stochastiques et dynamiques de collectes et de livraisons par des véhicules intelligents. Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017), Jul 2017, Caen, France. 2017, Actes des Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017). 〈hal-01576351〉
  • Jonathan Cohen, Laëtitia Matignon, Olivier Simonin. Incremental and adaptive multi-robot mapping for human scene observation. ICTAI 2016 28th International Conference on Tools with Artificial Intelligence, Nov 2016, San Jose, United States. pp.678--685. 〈hal-01357857〉
  • Antoine Grea, Samir Aknine, Laëtitia Matignon. LOLLIPOP: Generating and using proper plan and negative refinements for online partial order planning. JFPDA, Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, 2016, Grenoble, France. 〈hal-01335659〉
  • Jonathan Cohen, Laëtitia Matignon, Olivier Simonin. Concentric and Incremental Multi-Robot Mapping to Observe Complex Scenes. IROS 2015 Workshop on On-line decision-making in multi-robot coordination (DEMUR’15), Oct 2015, Hamburg, Germany. 〈http://robotics.fel.cvut.cz/demur15/〉. 〈hal-01254964〉
  • Olivier L. Georgeon, Rémi Casado, Laëtitia Matignon. Modeling Biological Agents Beyond the Reinforcement Learning Paradigm. International Conference on Biologically Inspired Cognitive Architecture, Nov 2015, Lyon, France. 71, pp.17-22, Procedia Computer Science. 〈10.1016/j.procs.2015.12.179〉. 〈hal-01251602〉
  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Decentralized Multi-Robot Planning to Explore and Perceive. Workshop on Multi-Agent Coordination in Robotic Exploration, ECAI 2014 (European Conference on Artificial Intelligence), Aug 2014, Prague, Czech Republic. Workshop on Multi-Agent Coordination in Robotic Exploration, ECAI (European Conference on Artificial Intelligence). 〈hal-01497823〉
  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Fonctions de Valeurs Distribuées sous Contraintes de Communication pour la Coordination Décentralisée d'Agents Décisionnels. Olivier Buffet. Journées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 14 p, 2012. 〈hal-00736306〉
  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Distributed Value Functions for the Coordination of Decentralized Decision Makers. International Joint Conference on Autonomous Agent and MultiAgent systems (AAMAS), 2012, Valencia, Italy. International Joint Conference on Autonomous Agent and MultiAgent systems (AAMAS). 〈hal-00969560〉
  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Distributed Value Functions for Multi-Robot Exploration: a Position Paper. Multi-Agent Sequential Decision Making in Uncertain Multi-Agent Domain (MSDM) (workshop of AAMAS), 2012, France. 2012. 〈hal-00966784〉
  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. AAAI 2012, 2012, Toronto, Canada. p2017-2023, 2012. 〈hal-00971744〉
  • Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib. Distributed Value Functions for MultiRobot exploration. IEEE International Conference on Robotics and Automation (ICRA), 2012, St paul - Minnesota, United States. 2012. 〈hal-00969562〉
  • Kahina Boutoustous-Bennouas, Guillaume J. Laurent, Eugen Dedu, Laëtitia Matignon, Julien Bourgeois, et al.. Distributed control architecture for smart surfaces.. IEEE Robotics and Automation Society. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'10., Oct 2010, Taipei, Taiwan. sur CD ROM, pp.2018-2024, 2010. 〈hal-00544602〉
  • Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat. SOaN : un algorithme pour la coordination d'agents apprenants et non communicants.. 4èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, JFPDA'09., Jun 2009, Paris, France. 1, pp.115-121, 2009. 〈hal-00547129〉
  • Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat. Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning.. IEEE/RSJ International Conference on Intelligent RObots and Systems, IROS'09., Oct 2009, Saint-Louis, Missouri, United States. IEEE Robotics and Automation Society., pp.3277-3283, 2009. 〈hal-00432591〉
  • Laëtitia Matignon, Guillaume Laurent, Nadine Le Fort - Piat. A study of FMQ heuristic in cooperative multi-agent games.. Jiaying Shen, Pradeep Varakantham, Rajiv Maheswaran. The 7th International Conference on Autonomous Agents and Multiagent Systems. Workshop 10 : Multi-Agent Sequential Decision Making in Uncertain Multi-Agent Domains, aamas'08., May 2008, Estoril, Portugal. 1, pp.77-91, 2008. 〈hal-00342324〉
  • Laëtitia Matignon, Guillaume Laurent, Nadine Le Fort-Piat. Hysteretic Q-Learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams.. IEEE. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'07., Oct 2007, San Diego, CA., United States. sur CD ROM, pp.64-69, 2007. 〈hal-00187279〉
  • Laëtitia Matignon, Guillaume Laurent, Nadine Le Fort - Piat. Contrôle distribué d'une Smart surface par Apprentissage par Renforcement.. 6èmes Journées Nationales de la Recherche en Robotique, JNRR'07., Oct 2007, France. pp.sur CD ROM, 2007. 〈hal-00182233〉
  • Laëtitia Matignon, Guillaume Laurent, Nadine Le Fort - Piat. Un algorithme décentralisé d'apprentissage par renforcement multi-agents coopératifs : le Q-Learning Hystérétique.. Cépaduès Editions. 2è Journées Francophones Planification, Décision, Apprentissage pour la conduite de Systèmes. JFPDA'07., Jul 2007, Grenoble, France. Cépaduès Editions, pp.115-121, 2007. 〈hal-00161653〉
  • Laëtitia Matignon, Guillaume Laurent, Nadine Le Fort-Piat. Choix de la fonction de renforcement et des valeurs initiales pour accélérer les problèmes d'Apprentissage par Renforcement de plus court chemin stochastique.. Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la Conduite de Systèmes, JFPDA'06., May 2006, Toulouse, France. 1, pp.107-114, 2006. 〈hal-00339340〉
  • Laetitia Matignon, Guillaume Laurent, Nadine Le Fort-Piat. Improving Reinforcement Learning Speed for Robot Control.. IEEE Catalog Number : 06CH37780D. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'06., Oct 2006, Beijing, China. pp.3172-3177, 2006, 〈10.1109/IROS.2006.282341〉. 〈hal-00333584〉

Pré-publication, Document de travail1 document

  • Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat. Coordination of independent learners in cooperative Markov games.. 2009. 〈hal-00370889〉

Rapport2 documents

  • Guillaume Bono, Jilles Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin. On the Study of Cooperative Multi-Agent Policy Gradient. [Research Report] RR-9188, INSA Lyon; INRIA. 2018, pp.1-27. 〈hal-01821677v2〉
  • Simon Bultmann, Laëtitia Matignon, Olivier Simonin. Multi-Robot Navigation and Cooperative Mapping in a Circular Topology. [Research Report] INSA Lyon. 2017. 〈hal-01526089〉

Thèse1 document

  • Laëtitia Matignon. Synthèse d'agents adaptatifs et coopératifs par apprentissage par renforcement.
    Application à la commande d'un système distribué de micromanipulation.. Automatique / Robotique. Université de Franche-Comté, 2008. Français. 〈tel-00362529〉