… We obtain a distributed, end-to-end flow control using cost functions … of a Nash equilibrium
for two different utility functions. The paper also discusses three distributed update algorithms, …

… In the following text, we aim to verify that if players make decisions by implementing a
distributed algorithm (6), then their actions converge to a GNE of the game eventually. Algorithm (6…

… Abstract—In this article, we study the distributed generalized Nash equilibrium (GNE) seeking
… The goal of this article is to design an online distributed algorithm for the players to seek …

… algorithm for computing pure strategy Nash equilibria that satisfy various criteria (such as
the utilitarian or Nash–… Our algorithm, called Valued Nash Propagation (VNP), integrates the …

… Nash equilibrium solutions, under both global and local analysis Also, convergence of an
algorithm … of a fish war example that the algorithm given is in some aspects superior to various …

… We propose a distributed algorithm that achieves an ε-Nash equilibrium by requiring only
local communications of the agents, as specified by a sparse communication network. The …

… We consider this setting for two reasons; first, intuitively, if learning algorithms can find
Nash equilibria in any setting, then they should in this setting. Since we will provide largely …

… , distributed algorithms are designed to search the Nash … the optimisation tools in a distributed
manner. The contributions of … distributed algorithms to solve a more general class of Nash …

… These assumptions define a learning process that selects efficient pure Nash equilibria
whenever pure Nash equilibria exist. Moreover when such equilibria do not exist we obtain a …

… In Section III, we design two distributed algorithms and analyze their convergence. Then,
in Section IV, we give numerical examples to illustrate the effectiveness of our …