WG2

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.


Tasks:

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