Many decision problems involve elements of uncertainty and of strategy. Most often the two elements cannot be easily disentangled. The aim of this workshop is to examine several aspects of the interaction between strategy and stochastics. Various game theoretic models will be presented, where stochastic elements are particularly relevant either in the formulation of the model itself or in the computation of its solutions.

In this fourth edition of the workshop attention will be focused on (but not restricted to) the following topics

Learning and bounded rationality

Networks

Large population and mean field games

Algorithmic game theory

Stochastic games

Dynamic games

The speakers will be scholars in different fields: stochastics, economics, operations research, computer science, control engineering etc.