Working Group 2: Learning in Distributed Large-Scale Networks

Chair: Panayotis Mertikopoulos (CNRS)

Vice-Chair: Luiz daSilva (Trinity College Dublin)

Main Aim: 

Design of efficient game-theoretic learning algorithms with a view towards their implementation in next-generation communication networks. Support and collaborate with industrial partners in the design of efficient resource allocation schemes based on the learning dynamics.


  1. Learning in games with continuous action spaces
  2. Real-time equilibrium tracking in dynamic networks
  3. Adaptive dynamics in stochastic games