EE-806 / 2 crédits

Enseignant: Cevher Volkan

Langue: Anglais

Remark: 29 to 31 July 2024; Information and Registration via https://sites.google.com/view/marl-school2024/apply?authuser=0


Frequency

Only this year

Summary

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.

Content

Keywords

Reinforcement Learning, Machine Learning, Multi Agent.

Assessment methods

Poster presentation.

Resources

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)

Semaine de référence

Cours connexes

Résultats de graphsearch.epfl.ch.