LPG 2 - Large Population Games 2

21 Juil 2026 16:10 – 17:50

Endroit: Salle

Présidée par Marta Leocata

4 présentations

16:10 - 16:35

Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward

  • Şevket Kaan Alkır, intervenant(e), Bilkent University
  • Naci Saldi, Bilkent University
  • Berkay Anahtarcı, Özyeğin University
  • Can Deha Kariksiz, Ozyegin University
16:35 - 17:00

Timely and Scalable Task Offloading in Edge Computing: A Mean-Field Game Approach

  • Shubham Aggarwal, University of Illinois Urbana-Champaign
  • Muhammad Aneeq uz Zaman, Analog Devices
  • Melih Bastopcu, intervenant(e), Bilkent University
  • Sennur Ulukus, University of Maryland at College Park
  • Tamer Basar, University of Illinois, Urbana-Champaign
17:00 - 17:25

Personalized persuasion in the era of AI: The role of various types of human data in LLM-generated arguments

  • Olga Zalesskaia, intervenant(e), Moscow Institute of Physics and Technology (State University)
  • Ilya Sukharev, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
  • Dina Rusinova, Moscow Institute of Physics and Technology (State University)
  • Arseniy Khlytchiev, Moscow Institute of Physics and Technology (State University)
  • Alexander Gubanov, Moscow Institute of Physics and Technology (State University)
  • Olga Dymarskaya, National Research University Higher School of Economics in Saint Petersburg
  • Tatiana Kozitsina, Moscow Institute of Physics and Technology (State University)
  • Yan Tashe, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
  • Ilya Astapenko, Russian Presidential Academy of National Economy and Public Administration
  • Evgeniya Lukinova, University of Nottingham
  • Alexander Petrov, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
  • Ivan Kozitsin, Moscow Institute of Physics and Technology (State University)
17:25 - 17:50

A Mean Field Game Approach to Pollution Regulation of Competitive Firms

  • Marta Leocata, intervenant(e), LUISS