Research

My interests are in Artificial Intelligence (AI), and especially (deep) reinforcement learning and developmental learning and their applications to robotics (mono-robot, multi-robot and human-robot systems). More specifically, I'm interested in decisional interactions in multi-agent systems composed of a set of artificial agents and composed of artificial and human agents.

PhD/Master Students

Current Students

  • Valentin Cuzin Rambaud (PhD) , co-advising with Maxime Morge, Hierarchical and Transferable Multi-Agent Reinforcement Learning via Communication and Graph Representations
  • Takieddine Soualhi (Post-Doc), co-advising with Jacques Saraydaryan, Deep Reinforcement Learning for Multi-Robot Social Navigation
  • Timon Deschamps (PhD), co-advising with Remy Chaput, Luis Gustavo Nardin and Mathieu Guillermin, Multi-objective and multi-agent reinforcement learning for the co- construction of ethical behaviors

    • Previous Students

  • Pierre Marza (PhD), co-advising with Christian Wolf and Olivier Simonin, , thesis defended on 25/11/2024, Learning spatial representations for single-task navigation and multi-task policies

  • Remy Chaput (Post-Doc), co-advising with Mathieu Guillermin, Multi-agent reinforcement learning for the co- construction of ethical behaviors
  • Arthur Aubret, co-advising with Salima Hassas, thesis defended on 31/11/2021, Learning increasingly complex skills through deep reinforcement learning using intrinsic motivation
  • Guillaume Bono, co-advising with Jilles Dibangoye, Olivier Simonin and Florian Pereyron, thesis defended on 28/10/2020, Deep Multi-Agent Reinforcement Learning for Dynamic and Stochastic Vehicle Routing Problems
  • Benoit Vuillemin, co-advising with Salima Hassas, Lionel Delphin-Poulat and Rozenn Nicol, thesis defended on 8/07/2020, Prediction rule mining in an Ambient Intelligence context
  • Antoine Grea, co-advising with Samir Aknine, thesis defended on 30/01/2020, Endomorphic metalanguage and abstract planning for real-time intent recognition


    		•