Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems L Matignon, GJ Laurent, N Le Fort-Piat The Knowledge Engineering Review 27 (01), 1-31, 2012 | 553 | 2012 |
Hysteretic q-learning: an algorithm for decentralized reinforcement learning in cooperative multi-agent teams L Matignon, GJ Laurent, L Fort-Piat Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International …, 2007 | 305 | 2007 |
The world of independent learners is not markovian GJ Laurent, L Matignon, NL Fort-Piat International Journal of Knowledge-based and Intelligent Engineering Systems …, 2011 | 286 | 2011 |
A survey on intrinsic motivation in reinforcement learning A Aubret, L Matignon, S Hassas arXiv preprint arXiv:1908.06976, 2019 | 192 | 2019 |
Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. L Matignon, L Jeanpierre, AI Mouaddib AAAI, 2012 | 163 | 2012 |
Reward function and initial values: better choices for accelerated goal-directed reinforcement learning L Matignon, GJ Laurent, N Le Fort-Piat Artificial Neural Networks–ICANN 2006, 840-849, 2006 | 135 | 2006 |
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms G Bono, JS Dibangoye, O Simonin, L Matignon, F Pereyron IEEE Transactions on Intelligent Transportation Systems, 2020 | 55 | 2020 |
Distributed control architecture for smart surfaces K Boutoustous, GJ Laurent, E Dedu, L Matignon, J Bourgeois, L Fort-Piat Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International …, 2010 | 55 | 2010 |
Distributed value functions for multi-robot exploration L Matignon, L Jeanpierre, AI Mouaddib Robotics and Automation (ICRA), 2012 IEEE International Conference on, 1544-1550, 2012 | 46 | 2012 |
Cooperative multi-agent policy gradient G Bono, JS Dibangoye, L Matignon, F Pereyron, O Simonin Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 36 | 2018 |
An information-theoretic perspective on intrinsic motivation in reinforcement learning: A survey A Aubret, L Matignon, S Hassas Entropy 25 (2), 327, 2023 | 33 | 2023 |
Designing decentralized controllers for distributed-air-jet mems-based micromanipulators by reinforcement learning L Matignon, GJ Laurent, N Le Fort-Piat, YA Chapuis Journal of intelligent & robotic systems 59 (2), 145-166, 2010 | 27 | 2010 |
Teaching agents how to map: Spatial reasoning for multi-object navigation P Marza, L Matignon, O Simonin, C Wolf 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 25 | 2022 |
Multi-robot simultaneous coverage and mapping of complex scene: comparison of different strategies L Matignon, O Simonin Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 21 | 2018 |
Multi-Robot Simultaneous Coverage and Mapping of Complex Scene L Matignon, O Simonin Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 21* | 2018 |
A study of FMQ heuristic in cooperative multi-agent games. L Matignon, GJ Laurent, N Le Fort-Piat The 7th International Conference on Autonomous Agents and Multiagent Systems …, 2008 | 20 | 2008 |
Coordination of independent learners in cooperative Markov games. L Matignon, GJ Laurent, N Le Fort-Piat | 18 | 2009 |
A Model for Verbal and Non-Verbal Human-Robot Collaboration. L Matignon, AB Karami, AI Mouaddib AAAI Fall Symposium: Dialog with Robots, 2010 | 15 | 2010 |
Improving reinforcement learning speed for robot control L Matignon, GJ Laurent, L Fort-Piat Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on …, 2006 | 15 | 2006 |
Multi-Object Navigation with dynamically learned neural implicit representations P Marza, L Matignon, O Simonin, C Wolf Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |