Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking

DOI10.1109/TAC.2020.3046232MaRDI QIDQ5033823

Angelia Nedić, Wei Shi, Tatiana Tatarenko

Publication date: 24 February 2022

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.07383

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Related Items (10)

Nash equilibrium seeking in full-potential population games under capacity and migration constraints ⋮ Generalized Nash equilibrium seeking algorithm design for distributed constrained noncooperative games with second-order players ⋮ Evolution of Mixed Strategies in Monotone Games ⋮ On the convergence of distributed projected gradient play with heterogeneous learning rates in monotone games ⋮ Event-triggered distributed Nash equilibrium seeking over directed graphs and its application to power management ⋮ On the linear convergence of distributed Nash equilibrium seeking for multi-cluster games under partial-decision information ⋮ A timestamp-based projected gradient play for distributed Nash equilibrium seeking in monotone games ⋮ Distributed Nash equilibrium seeking strategies via bilateral bounded gradient approach ⋮ Fast generalized Nash equilibrium seeking under partial-decision information ⋮ A distributed Bregman forward-backward algorithm for a class of Nash equilibrium problems

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