Nonlinear Markov games on a finite state space

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Event details

Date 20.02.2014
Hour 10:15
Speaker Vassili Kolokoltsov, University of Warwick
Location
EPFL MA A1 12
Category Conferences - Seminars
Managing large complex stochastic systems, including competitive interests, when one or several players can control the behavior of a large number of particles (agents, mechanisms, vehicles,subsidiaries, species, police units, etc), say N_k for a player k, the complexity of the game-theoretical (or Markov decision) analysis can become immense as N_k → ∞. However, under rather general assumptions, the limiting problem, as all N_k → ∞ , can be described by a well manageable deterministic evolution. We shall discuss some simple situations of this kind proving the convergence of Nash equilibria for finite games to equilibria of a limiting deterministic differential game. The main ideas are contained in author's paper 'Nonlinear Markov games on a finite state space (mean-field and binary interactions)'
http://arxiv.org/abs/1105.3053. International Journal of Statistics and Probability. Canadian Center of Science and Education (Open access journal), 1:1 (2012), 77-91.

Practical information

  • Expert
  • Free

Organizer

  • Prof. Max-Olivier Hongler

Contact

  • max.hongler@epfl.ch

Tags

Nonlinear Markov Games Nash Equilibria

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