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  • Maxime Toquebiau

  • PhD Student
  • Team: ACIDE
  • Email: maxime.toquebiau@ece.fr
  • Phone:0642538424
  • Bio: Engineer specialised in artificial intelligence, I graduated in 2020 from ECE Paris. My PhD thesis subject is "Multiagent deep reinforcement learning in mobile robotics", supervised by Faïz BEN AMAR (ISIR, co-director), Nicolas BREDECHE (ISIR, co-director) and Jae Yun JUN KIM (ECE Paris, supervisor).

Publications

  • Maxime Toquebiau, Jae-Yun Jun, Faïz Benamar, Nicolas Bredeche. Multi-Agent Deep Reinforcement Learning in Robotics: Context and Open Challenges. 2025. ⟨hal-05400696⟩
    [ HTTP | PDF ]
  • Maxime Toquebiau, Jae-Yun Jun, Faïz Benamar, Nicolas Bredeche. An Introduction to Deep Reinforcement Learning. Sorbonne universités. 2025. ⟨hal-05400685⟩
    [ HTTP | PDF ]
  • Maxime Toquebiau. Improving Cooperation in Multi-agent Deep Reinforcement Learning for Mobile Robotics. Robotics [cs.RO]. Sorbonne Université, 2024. English. ⟨NNT : 2024SORUS385⟩. ⟨tel-05076852⟩
    [ HTTP | PDF ]