Tatiana Tatarenko

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Venues

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Tatiana Tatarenko, Maryam Kamgarpour
Convergence Rate of Learning a Strongly Variationally Stable Equilibrium. ECC (2024)
Tatiana Tatarenko, Angelia Nedic
Accelerating Distributed Nash Equilibrium Seeking. ECC (2024)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Gradient-Tracking-basierte Lösung von Multi-Cluster-Spielen. Autom. 70 (4) (2022)
Tatiana Tatarenko, Maryam Kamgarpour
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games. CoRR (2022)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Projected gradient-tracking in multi-cluster games and its application to power management. CoRR (2022)
Tatiana Tatarenko, Jan Zimmermann
Distributed optimization methods for N-cluster games. Autom. 70 (3) (2022)
Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy
Gradient Play in n-Cluster Games with Zero-Order Information. CDC (2021)
Tatiana Tatarenko, Wei Shi, Angelia Nedic
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking. IEEE Trans. Autom. Control. 66 (11) (2021)
Tatiana Tatarenko, Angelia Nedich
A Smooth Inexact Penalty Reformulation of Convex Problems with Linear Constraints. SIAM J. Optim. 31 (3) (2021)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Solving leaderless multi-cluster games over directed graphs. Eur. J. Control 62 (2021)
Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy
Gradient Play in $n$-Cluster Games with Zero-Order Information. CoRR (2021)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games. CoRR (2021)
Tatiana Tatarenko
Schnelle, verteilte Optimierungsmethoden und spieltheoretische Ansätze in vernetzten Systemen. Autom. 68 (3) (2020)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems. CDC (2020)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems. CoRR (2020)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication. CoRR (2020)
Angelia Nedic, Tatiana Tatarenko
Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints. CDC (2020)
Tatiana Tatarenko, Maryam Kamgarpour
Learning Generalized Nash Equilibria in a Class of Convex Games. IEEE Trans. Autom. Control. 64 (4) (2019)
Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy
Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren. Autom. 67 (11) (2019)
Tatiana Tatarenko
Stochastic learning in multi-agent optimization: Communication and payoff-based approaches. Autom. 99 (2019)
Tatiana Tatarenko, Jan Zimmermann, Volker Willert, Jürgen Adamy
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid. CDC (2019)
Tatiana Tatarenko, Maryam Kamgarpour
Learning Nash Equilibria in Monotone Games. CDC (2019)
Tatiana Tatarenko, Maryam Kamgarpour
Learning Nash Equilibria in Monotone Games. CoRR (2019)
Tatiana Tatarenko, Wei Shi, Angelia Nedic
Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking. CDC (2018)
Tatiana Tatarenko, Maryam Kamgarpour
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces. CoRR (2018)
Tatiana Tatarenko, Maryam Kamgarpour
Minimizing Regret in Unconstrained Online Convex Optimization. ECC (2018)
Tatiana Tatarenko
Independent Log-Linear Learning in Potential Games With Continuous Actions. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Tatiana Tatarenko, Behrouz Touri
Non-Convex Distributed Optimization. IEEE Trans. Autom. Control. 62 (8) (2017)
Angelia Nedic, Tatiana Tatarenko
On stochastic proximal-point method for convex-composite optimization. Allerton (2017)
Tatiana Tatarenko
Stochastic stability of potential function maximizers in continuous version of independent log-linear learning. ECC (2016)
Tatiana Tatarenko, Behrouz Touri
On local analysis of distributed optimization. ACC (2016)
Tatiana Tatarenko
Stochastic payoff-based learning in multi-agent systems modeled by means of potential games. CDC (2016)
Tatiana Tatarenko
Synchronous learning of efficient Nash equilibria in potential games with uncoupled dynamics and memoryless players. ECC (2015)
Tatiana Tatarenko
1-recall reinforcement learning leading to an optimal equilibrium in potential games with discrete and continuous actions. CDC (2015)
Tatiana Tatarenko, Luis Garcia-Moreno
A game theoretic and control theoretic approach to incentive-based demand management in smart grids. MED (2014)
Tatiana Tatarenko
Finite-time behavior of log-linear learning in potential games. NetGCooP (2014)
Tatiana Tatarenko
Log-linear learning: Convergence in discrete and continuous strategy potential games. CDC (2014)
Tatiana Tatarenko
Proving convergence of log-linear learning in potential games. ACC (2014)

Tatiana Tatarenko.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tatiana Tatarenko