Tatiana Tatarenko

45 papers C 2Journal 23Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inverse Learning in 2\⨉2 Games: From Synthetic Interactions to Traffic Simulation.
CoRR
Daniela Aguirre Salazar, Firas Moatemri, Tatiana Tatarenko
2025 J jnl
Convergence rate of payoff-based generalized Nash equilibrium learning.
Eur. J. Control
Tatiana Tatarenko, Maryam Kamgarpour
2025 J jnl
Convergence rate of payoff-based generalized Nash equilibrium learning.
Eur. J. Control
Tatiana Tatarenko, Maryam Kamgarpour
2025 — conf
Distributed Nash Equilibrium Seeking in Non-Monotone Games over the Simplex.
CDC
Tatiana Tatarenko, S. Rasoul Etesami
2024 — conf
Accelerating Distributed Nash Equilibrium Seeking.
ECC
Tatiana Tatarenko, Angelia Nedic
2024 — conf
Convergence Rate of Learning a Strongly Variationally Stable Equilibrium.
ECC
Tatiana Tatarenko, Maryam Kamgarpour
2024 — conf
Fully Distributed Nash Equilibrium Seeking in n-Cluster Games with Zero-Order Information.
CDC
Tatiana Tatarenko
2024 J jnl
Payoff-Based Learning of Nash Equilibria in Merely Monotone Games.
IEEE Trans. Control. Netw. Syst.
Tatiana Tatarenko, Maryam Kamgarpour
2022 J jnl
Distributed optimization methods for N-cluster games.
Autom.
Tatiana Tatarenko, Jan Zimmermann
2022 J jnl
Gradient-Tracking-basierte Lösung von Multi-Cluster-Spielen.
Autom.
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2022 J jnl
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games.
CoRR
Tatiana Tatarenko, Maryam Kamgarpour
2022 J jnl
Projected gradient-tracking in multi-cluster games and its application to power management.
CoRR
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2021 J jnl
A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints.
SIAM J. Optim.
Tatiana Tatarenko, Angelia Nedich
2021 J jnl
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking.
IEEE Trans. Autom. Control.
Tatiana Tatarenko, Wei Shi, Angelia Nedic
2021 J jnl
Gradient Play in $n$-Cluster Games with Zero-Order Information.
CoRR
Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy
2021 — conf
Gradient Play in n-Cluster Games with Zero-Order Information.
CDC
Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy
2021 J jnl
Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games.
CoRR
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2021 J jnl
Solving leaderless multi-cluster games over directed graphs.
Eur. J. Control
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2020 — conf
Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints.
CDC
Angelia Nedic, Tatiana Tatarenko
2020 — conf
Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems.
CDC
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2020 J jnl
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems.
CoRR
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2020 J jnl
Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication.
CoRR
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2020 J jnl
Schnelle, verteilte Optimierungsmethoden und spieltheoretische Ansätze in vernetzten Systemen.
Autom.
Tatiana Tatarenko
2019 J jnl
Learning Generalized Nash Equilibria in a Class of Convex Games.
IEEE Trans. Autom. Control.
Tatiana Tatarenko, Maryam Kamgarpour
2019 — conf
Learning Nash Equilibria in Monotone Games.
CDC
Tatiana Tatarenko, Maryam Kamgarpour
2019 J jnl
Learning Nash Equilibria in Monotone Games.
CoRR
Tatiana Tatarenko, Maryam Kamgarpour
2019 J jnl
Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren.
Autom.
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
2019 — conf
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid.
CDC
Tatiana Tatarenko, Jan Zimmermann, Volker Willert, Jürgen Adamy
2019 J jnl
Stochastic learning in multi-agent optimization: Communication and payoff-based approaches.
Autom.
Tatiana Tatarenko
2018 — conf
Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking.
CDC
Tatiana Tatarenko, Wei Shi, Angelia Nedic
2018 J jnl
Independent Log-Linear Learning in Potential Games With Continuous Actions.
IEEE Trans. Control. Netw. Syst.
Tatiana Tatarenko
2018 J jnl
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces.
CoRR
Tatiana Tatarenko, Maryam Kamgarpour
2018 — conf
Minimizing Regret in Unconstrained Online Convex Optimization.
ECC
Tatiana Tatarenko, Maryam Kamgarpour
2017 — —
Game-theoretic learning and distributed optimization in memoryless multi-agent systems.
Tatiana Tatarenko
2017 J jnl
Non-Convex Distributed Optimization.
IEEE Trans. Autom. Control.
Tatiana Tatarenko, Behrouz Touri
2017 — conf
On stochastic proximal-point method for convex-composite optimization.
Allerton
Angelia Nedic, Tatiana Tatarenko
2016 C conf
On local analysis of distributed optimization.
ACC
Tatiana Tatarenko, Behrouz Touri
2016 — conf
Stochastic payoff-based learning in multi-agent systems modeled by means of potential games.
CDC
Tatiana Tatarenko
2016 — conf
Stochastic stability of potential function maximizers in continuous version of independent log-linear learning.
ECC
Tatiana Tatarenko
2015 — conf
1-recall reinforcement learning leading to an optimal equilibrium in potential games with discrete and continuous actions.
CDC
Tatiana Tatarenko
2015 — conf
Synchronous learning of efficient Nash equilibria in potential games with uncoupled dynamics and memoryless players.
ECC
Tatiana Tatarenko
2014 — conf
A game theoretic and control theoretic approach to incentive-based demand management in smart grids.
MED
Tatiana Tatarenko, Luis Garcia-Moreno
2014 — conf
Finite-time behavior of log-linear learning in potential games.
NetGCooP
Tatiana Tatarenko
2014 — conf
Log-linear learning: Convergence in discrete and continuous strategy potential games.
CDC
Tatiana Tatarenko
2014 C conf
Proving convergence of log-linear learning in potential games.
ACC
Tatiana Tatarenko