Tatiana Tatarenko

Eur. J. Control, 2025

2024

Payoff-Based Learning of Nash Equilibria in Merely Monotone Games.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., December, 2024

Accelerating Distributed Nash Equilibrium Seeking.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2024

Convergence Rate of Learning a Strongly Variationally Stable Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2024

Fully Distributed Nash Equilibrium Seeking in n-Cluster Games with Zero-Order Information.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2022

Projected gradient-tracking in multi-cluster games and its application to power management.

[BibT_eX]

[DOI]

CoRR, 2022

On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games.

[BibT_eX]

[DOI]

CoRR, 2022

Gradient-Tracking-basierte Lösung von Multi-Cluster-Spielen.

[BibT_eX]

[DOI]

Autom., 2022

Distributed optimization methods for N-cluster games.

[BibT_eX]

[DOI]

Jan Zimmermann

Autom., 2022

2021

Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking.

[BibT_eX]

[DOI]

Wei Shi

IEEE Trans. Autom. Control., 2021

A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints.

[BibT_eX]

[DOI]

Angelia Nedich

SIAM J. Optim., 2021

Solving leaderless multi-cluster games over directed graphs.

[BibT_eX]

[DOI]

Eur. J. Control, 2021

Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games.

[BibT_eX]

[DOI]

CoRR, 2021

Gradient Play in n-Cluster Games with Zero-Order Information.

[BibT_eX]

[DOI]

Jan Zimmermann

Jürgen Adamy

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication.

[BibT_eX]

[DOI]

CoRR, 2020

Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems.

[BibT_eX]

[DOI]

CoRR, 2020

Schnelle, verteilte Optimierungsmethoden und spieltheoretische Ansätze in vernetzten Systemen.

[BibT_eX]

[DOI]

Autom., 2020

Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Learning Generalized Nash Equilibria in a Class of Convex Games.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Stochastic learning in multi-agent optimization: Communication and payoff-based approaches.

[BibT_eX]

[DOI]

Autom., 2019

Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren.

[BibT_eX]

[DOI]

Autom., 2019

Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning Nash Equilibria in Monotone Games.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Independent Log-Linear Learning in Potential Games With Continuous Actions.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces.

[BibT_eX]

[DOI]

CoRR, 2018

Minimizing Regret in Unconstrained Online Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking.

[BibT_eX]

[DOI]

Wei Shi

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Game-theoretic learning and distributed optimization in memoryless multi-agent systems.

[BibT_eX]

[DOI]

PhD thesis, 2017

Non-Convex Distributed Optimization.

[BibT_eX]

[DOI]

Behrouz Touri

IEEE Trans. Autom. Control., 2017

On stochastic proximal-point method for convex-composite optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Stochastic stability of potential function maximizers in continuous version of independent log-linear learning.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Stochastic payoff-based learning in multi-agent systems modeled by means of potential games.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On local analysis of distributed optimization.

[BibT_eX]

[DOI]

Behrouz Touri

Proceedings of the 2016 American Control Conference, 2016

2015

Synchronous learning of efficient Nash equilibria in potential games with uncoupled dynamics and memoryless players.

[BibT_eX]

[DOI]

Proceedings of the 14th European Control Conference, 2015

1-recall reinforcement learning leading to an optimal equilibrium in potential games with discrete and continuous actions.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Finite-time behavior of log-linear learning in potential games.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on NETwork Games, COntrol and OPtimization, 2014

A game theoretic and control theoretic approach to incentive-based demand management in smart grids.

[BibT_eX]

[DOI]

Luis Garcia-Moreno

Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Log-linear learning: Convergence in discrete and continuous strategy potential games.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Proving convergence of log-linear learning in potential games.

[BibT_eX]

[DOI]