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  • Nicolas Fontbonne

  • Doctorant
  • Équipe: Amac
  • Bureau: 310
  • Email: nicolas.fontbonne@sorbonne-université.fr
  • Site web: https://www.linkedin.com/in/nicolas-fontbonne/
  • Bio: Thèse dirigée par Nicolas Bredeche (ISIR, SU) et Nicolas Maudet (SMA, LIP6) sur le sujet Apprentissage de la coopération et estimation de la contribution individuelle pour la robotique en essaim adaptative.

Publications

  • Nicolas Bredeche, Nicolas Fontbonne. Social learning in swarm robotics. Philosophical Transactions of the Royal Society B: Biological Sciences, Royal Society, The, 2022, 377 (1843), pp.20200309. ⟨10.1098/rstb.2020.0309⟩. ⟨hal-03500739⟩
  • Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche. Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with. 2021. ⟨hal-03315730⟩
  • Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche. Reinforcement Learning with Rare Significant Events: Direct Policy Search vs. Gradient Policy Search. Genetic and Evolutionary Computation Conference Companion, 2021, Lille (en ligne), France. ⟨hal-03315728⟩
  • Nicolas Fontbonne, Olivier Dauchot, Nicolas Bredeche. Distributed On-line Learning in Swarm Robotics with Limited Communication Bandwidth. IEEE Congress on Evolutionary Computation, 2020, Glasgow (virtual), United Kingdom. ⟨10.1109/CEC48606.2020.9185697⟩. ⟨hal-03175237⟩