Tatiana Tatarenko
Orcid: 0000-0001-8951-112X
According to our database1,
Tatiana Tatarenko
authored at least 39 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Control. Netw. Syst., December, 2024
Proceedings of the European Control Conference, 2024
Proceedings of the European Control Conference, 2024
Fully Distributed Nash Equilibrium Seeking in n-Cluster Games with Zero-Order Information.
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.
CoRR, 2022
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games.
CoRR, 2022
2021
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking.
IEEE Trans. Autom. Control., 2021
SIAM J. Optim., 2021
CoRR, 2021
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.
CoRR, 2020
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems.
CoRR, 2020
Schnelle, verteilte Optimierungsmethoden und spieltheoretische Ansätze in vernetzten Systemen.
Autom., 2020
Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Autom. Control., 2019
Stochastic learning in multi-agent optimization: Communication and payoff-based approaches.
Autom., 2019
Autom., 2019
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Control. Netw. Syst., 2018
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces.
CoRR, 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Game-theoretic learning and distributed optimization in memoryless multi-agent systems.
PhD thesis, 2017
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.
Proceedings of the 15th European Control Conference, 2016
Stochastic payoff-based learning in multi-agent systems modeled by means of potential games.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Synchronous learning of efficient Nash equilibria in potential games with uncoupled dynamics and memoryless players.
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.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
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.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014
Log-linear learning: Convergence in discrete and continuous strategy potential games.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014