This paper investigates distributed Nash equilibrium seeking in multiagent games under switching communication topologies. To be specific, the communication topology is supposed to be switching among a set of strongly connected digraphs, which might suffer from occasional loss of communication due to sensor failure, packet loss, etc. The synthesis of the leader-following consensus protocol and the gradient play is exploited to achieve the distributed Nash equilibrium seeking under the switching communication topologies. Switching topology without loss of communication is firstly considered, followed by switching topology subject to missing communication within some time slots. For both situations, nonquadratic and quadratic games are addres...
This paper addresses the problem of seeking generalized Nash equilibrium for constrained aggregative...
We consider a system of single- or double-integrator agents playing a generalized Nash game over a n...
Abstract—The paper concerns the development of distributed equilibria learning strategies in large-s...
The problem of Nash equilibrium seeking is investigated in a networked game. The game is defined as ...
We study distributed algorithms for finding a Nash equilibrium (NE) in a class of non-cooperative co...
We design a distributed algorithm for learning Nash equilibria over time-varying communication netwo...
This paper deals with repeated nonsymmetric congestion games in which the players cannot observe the...
This paper considers the distributed strategy design for Nash equilibrium (NE) seeking in multi-clus...
This paper deals with repeated nonsymmetric congestion games in which the players cannot observe the...
This paper considers a class of strategic scenarios in which two networks of agents have opposing ob...
We consider quasi-aggregative games for large populations of heterogeneous agents, whose interaction...
We consider the problem of distributed Nash equilibrium seeking over networks. In this setting, age...
This paper addresses a class of network games played by dynamic agents using their outputs. Unlike m...
The paper concerns the development of distributed equilibria learning strategies in large-scale mult...
We address the generalized Nash equilibrium seeking problem for a population of noncooperative agent...
This paper addresses the problem of seeking generalized Nash equilibrium for constrained aggregative...
We consider a system of single- or double-integrator agents playing a generalized Nash game over a n...
Abstract—The paper concerns the development of distributed equilibria learning strategies in large-s...
The problem of Nash equilibrium seeking is investigated in a networked game. The game is defined as ...
We study distributed algorithms for finding a Nash equilibrium (NE) in a class of non-cooperative co...
We design a distributed algorithm for learning Nash equilibria over time-varying communication netwo...
This paper deals with repeated nonsymmetric congestion games in which the players cannot observe the...
This paper considers the distributed strategy design for Nash equilibrium (NE) seeking in multi-clus...
This paper deals with repeated nonsymmetric congestion games in which the players cannot observe the...
This paper considers a class of strategic scenarios in which two networks of agents have opposing ob...
We consider quasi-aggregative games for large populations of heterogeneous agents, whose interaction...
We consider the problem of distributed Nash equilibrium seeking over networks. In this setting, age...
This paper addresses a class of network games played by dynamic agents using their outputs. Unlike m...
The paper concerns the development of distributed equilibria learning strategies in large-scale mult...
We address the generalized Nash equilibrium seeking problem for a population of noncooperative agent...
This paper addresses the problem of seeking generalized Nash equilibrium for constrained aggregative...
We consider a system of single- or double-integrator agents playing a generalized Nash game over a n...
Abstract—The paper concerns the development of distributed equilibria learning strategies in large-s...