Nash equilibrium, as an essential strategic profile in game theory, is of both practical
relevance and theoretical significance due to its wide penetration into various fields, such as …

We review classic results and recent progress on equilibrium analysis, dynamics, and
optimal interventions in network games with both continuous and discrete strategy sets. We …

In future distribution grids, prosumers (ie, energy consumers with storage and/or production
capabilities) will trade energy with each other and with the main grid. To ensure an efficient …

The goal of this article is to promote the use of fixed point strategies in data science by
showing that they provide a simplifying and unifying framework to model, analyze, and solve …

We address the generalized Nash equilibrium seeking problem in a partial-decision
information scenario, where each agent can only exchange information with some …

This article focuses on an online version of the emerging distributed constrained
aggregative optimization framework, which is particularly suited for applications arising in …

Generalized games model interactions between a set of selfish decision makers, called
players or agents, where both the objective function and the feasible decision set of each …

We design a distributed algorithm for learning Nash equilibria over time-varying
communication networks in a partial-decision information scenario, where each agent can …

This paper considers an n-player stochastic Nash equilibrium problem (NEP) in which the i
th player minimizes a composite objective f_i(∙,x_-i)+r_i(∙), where f_i is an expectation-valued …

We address the generalized Nash equilibrium seeking problem for a population of agents
playing aggregative games with affine coupling constraints. We focus on semi-decentralized …