MFG 1 - Mean Field Games 1

21 Juil 2026 08:30 – 10:10

Endroit: Salle

Présidée par Roland Malhamé

4 présentations

08:30 - 08:55

Solving First-Order Time-Dependent Mean Field Games via Monotone Operator Theory

  • Melih Ucer, intervenant(e), KAUST
  • Diogo Gomes, KAUST
08:55 - 09:20

Maximum Mean Discrepancy Imitation Learning in Mean-Field Games

  • Can Deha Kariksiz, intervenant(e), Ozyegin University
09:20 - 09:45

Mean Field Stochastic Games with Restless Bandits

  • Konstantin Avrachenkov, Inria
  • Riya Sultana, intervenant(e), IITB
  • Kousik Das, IITB
  • Veeraruna Kavitha, IITB
09:45 - 10:10

Nash equilibria in LQ continuous-time aggregative games with delayed sampled empirical mean observations

  • Roland Malhamé, intervenant(e), Polytechnique Montréal
  • Farid Rajabali, Ecole Polytechnique Montréal