EE-806 / 2 crédits

Enseignant: Cevher Volkan

Langue: Anglais

Remark: 29 to 31 July 2024; Information and Registration via


Only this year


The goal of the summer school are providing a rigorous introduction to the foundations of MARL and highlight the challenges that arise in the modern research directions in this area.


  • Tutorial 1: Game Theory
  • Tutorial 2: Adversarial MDP
  • Tutorial 3: Multi Agent RL
  • Research Talk 1: Optimistic exploration in Multi Agent RL
  • Research Talk 2: Optimization for Multi Agent RL
  • Research Talk 3: Applications of Multi Agent RL
  • Research Talk 4: Safety in Multi Agent RL
  • Research Talk 5: Multi Agent Imitation Learning


Reinforcement Learning, Machine Learning, Multi Agent.

Assessment methods

Poster presentation.


Moodle Link

Dans les plans d'études

  • Nombre de places: 30
  • Forme de l'examen: Oral (session libre)
  • Matière examinée: Multi Agent Reinforcement Learning
  • Cours: 15 Heure(s)
  • Type: optionnel

Semaine de référence

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