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 this article, online noncooperative games without full decision information are studied,
where the goal of players is to seek the Nash equilibria in a distributed manner. Different …

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 …

We propose a geometric framework to describe and analyse a wide array of operator
splitting methods for solving monotone inclusion problems. The initial inclusion problem …

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 …