Artikel

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2022)
Gradient-Tracking-basierte Lösung von Multi-Cluster-Spielen.
In: at - Automatisierungstechnik, 70 (4)
doi: 10.1515/auto-2021-0106
Artikel, Bibliographie

Tatarenko, Tatiana ; Zimmermann, Jan (2022)
Distributed optimization methods for N-cluster games.
In: at - Automatisierungstechnik, 70 (3)
doi: 10.1515/auto-2021-0137
Artikel, Bibliographie

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2021)
Solving Leaderless Multi-Cluster Games over Directed Graphs.
In: European Journal of Control, 62
doi: 10.1016/j.ejcon.2021.06.007
Artikel, Bibliographie

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2019)
Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren.
In: at - Automatisierungstechnik, 67 (11)
doi: 10.1515/auto-2019-0064
Artikel, Bibliographie

Tatarenko, Tatiana ; Touri, Behrouz (2017)
Non-Convex Distributed Optimization.
In: IEEE Transactions on Automatic Control, 62 (8)
Artikel, Bibliographie

Tatarenko, Tatiana (2017)
Independent Log-Linear Learning in Potential Games with Continuous Actions.
In: IEEE Transactions on Control of Network Systems, 5 (3)
Artikel, Bibliographie

Zubkov, A. M. ; Tatarenko, Tatiana (2013)
The Equivalence between the Schur Order and the Stochastic Orders Generated by the Scheme of Allocation of Particles into Cells.
In: Mathematical Notes, 93 (1)
Artikel, Bibliographie

Konferenzveröffentlichung

Tatarenko, Tatiana ; Zimmermann, Jan ; Adamy, Jürgen (2021)
Gradient Play in n-Cluster Games with Zero-Order Information.
60th IEEE Conference on Decision and Control. virtual Conference (14.12.2021-17.12.2021)
doi: 10.1109/CDC45484.2021.9683636
Konferenzveröffentlichung, Bibliographie

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2020)
Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems.
2020 59th IEEE Conference on Decision and Control (CDC). Jeju, South Korea (14.-18.12.2020)
doi: 10.1109/CDC42340.2020.9304360
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana ; Zimmermann, Jan ; Willert, Volker ; Adamy, Jürgen (2019)
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid.
58th Conference on Decision and Control. Nice, France (11.12.2019-13.12.2019)
doi: 10.1109/CDC40024.2019.9029861
Konferenzveröffentlichung, Bibliographie

Nedić, A. ; Tatarenko, Tatiana (2017)
On stochastic proximal-point method for convex-composite optimization.
55th Annual Allerton Conference on Communication, Control, and Computing. Allerton, USA (03.10.2017-06.10.2017)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana ; Kamgarpour, M. (2017)
Payoff-Based Approach to Learning Nash Equilibria in Convex Games.
20th IFAC World Congress. Toulouse, France (09.07.2017-14.07.2017)
doi: 10.1016/j.ifacol.2017.08.300
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2016)
Stochastic Payoff-Based Learning in Multi-Agent Systems Modeled by Means of Potential Games.
Conference on Decision and Control. Las Vegas, USA (12.12.2016-15.12.2016)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana ; Touri, Behrouz (2016)
On Local Analysis of Distributed Optimization.
American Control Conference. Boston, MA, USA (06.07.2016-08.07.2016)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2016)
Stochastic Stability of Potential Function Maximizers in Continuous Version of Independent Log-Linear Learning.
European Control Conference. Aalborg, Denmark (29.06.2016-01.07.2016)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2015)
1-Recall Reinforcement Learning Leading to an Optimal Equilibrium in Potential Games with Discrete and Continuous Actions.
IEEE Conference on Decision and Control 2015. Osaka, Japan (14.12.2015-17.12.2015)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2015)
Synchronous learning of efficient Nash equilibria in potential games with uncoupled dynamics and memoryless players.
European Control Conference 2015. Linz, Österreich (15.07.2015-17.07.2015)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana ; Popov, Ivan (2014)
Nash Equilibrium Flow in a Routing Game with Random Queues.
26th Chinese Control and Decision Conference. Changsha, China (31.05.2014-02.06.2014)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2014)
Proving Convergence of Log-Linear Learning in Potential Games.
American Control Conference. Portland, Oregon, USA (04.06.2014-06.06.2014)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2014)
A Game Theoretic and Control Theoretic Approach to Incentive-Based Demand Management in Smart Grids.
22nd Mediterranean Conference on Control & Automation. Palermo, Italy (16.06.2014-19.06.2014)
Konferenzveröffentlichung, Bibliographie

Tatarenko, Tatiana (2013)
On Convergence of Log-Linear Learning in Potential Games.
UECE Meetings on Game Theory and Applications. Lisbon, Portugal (07.11.2013-09.11.2013)
Konferenzveröffentlichung, Bibliographie

Report

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2021)
Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games.
doi: https://arxiv.org/abs/2102.09406
Report, Bibliographie

Dissertation

Tatarenko, Tatiana (2017)
Game-theoretic learning and distributed optimization in memoryless multi-agent systems.
Technische Universität Darmstadt
Dissertation, Bibliographie