A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking-Reference-Cited by-同舟云学术

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A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Cui Shisheng¹,Franci Barbara²,Grammatico Sergio²,Shanbhag Uday V.¹,Staudigl Mathias³

Affiliation:

1. Pennsylvania State University,Department of Industrial and Manufacturing Engineering,PA,USA,16802

2. TU Delft,Delft Center for System and Control,The Netherlands

3. Maastricht University,Department of Data Science and Knowledge Engineering,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09682905.pdf?arnumber=9682905

Reference37 articles.

1. Distributed variable sample-size gradient-response and best-response schemes for stochastic nash equilibrium problems over graphs;lei,2019

2. Sample size selection in optimization methods for machine learning

3. Lagrangian Duality and Related Multiplier Methods for Variational Inequality Problems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tikhonov Regularized Exterior Penalty Dynamics for Constrained Variational Inequalities;IEEE Control Systems Letters;2024

2. A Distributed Douglas-Rachford Based Algorithm for Stochastic GNE Seeking with Partial Information;2022 American Control Conference (ACC);2022-06-08

3. Distributed Computation of Stochastic GNE With Partial Information: An Augmented Best-Response Approach;IEEE Transactions on Control of Network Systems;2022

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