Bild: rmr

Dr. rer. nat. Tatiana Tatarenko

Dissertation: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems, heute: TU Darmstadt, Regelungsmethoden und Robotik, Tätigkeit: Gruppenleiterin


Springe zu: 2021 | 2019 | 2017 | 2016 | 2015 | 2014 | 2013
Anzahl der Einträge: 19.


Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2021):
Solving Leaderless Multi-Cluster Games over Directed Graphs.
In: European Journal of Control, (Early Access), Elsevier, ISSN 0947-3580,
DOI: 10.1016/j.ejcon.2021.06.007,

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2021):
Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems. (Postprint)
In: 2020 59th IEEE Conference on Decision and Control (CDC),
New York, NY, IEEE, 2020 59th IEEE Conference on Decision and Control (CDC), Jeju, South Korea, 14.-18.12.2020, DOI: 10.26083/tuprints-00017573,


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.
S. 6234-6241, IEEE, 58th Conference on Decision and Control (CDC), Nice, France, 11.-13.12.2019, ISBN 978-1-7281-1398-2,
DOI: 10.1109/CDC40024.2019.9029861,

Zimmermann, Jan ; Tatarenko, Tatiana ; Willert, Volker ; Adamy, Jürgen (2019):
Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren. (Verlagsversion)
In: at - Automatisierungstechnik, 67 (11), S. 922-935. De Gruyter, ISSN 0178-2312,
DOI: 10.25534/tuprints-00014291,


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, October, 2017, [Konferenzveröffentlichung]

Tatarenko, Tatiana ; Touri, Behrouz (2017):
Non-Convex Distributed Optimization.
In: IEEE Transactions on Automatic Control, 62 (8), S. 3744-3757. [Artikel]

Tatarenko, Tatiana ; Kamgarpour, M. (2017):
Payoff-Based Approach to Learning Nash Equilibria in Convex Games.
20th IFAC World Congress, Toulouse, France, July, 2017, [Konferenzveröffentlichung]

Tatarenko, Tatiana (2017):
Independent Log-Linear Learning in Potential Games with Continuous Actions.
In: IEEE Transactions on Control of Network Systems, 5 (3), S. 913-923. [Artikel]

Tatarenko, Tatiana (2017):
Game-theoretic learning and distributed optimization in memoryless multi-agent systems.
Darmstadt, TU Darmstadt,


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, December 12-15, 2016, [Konferenzveröffentlichung]

Tatarenko, Tatiana ; Touri, Behrouz (2016):
On Local Analysis of Distributed Optimization.
American Control Conference, Boston, MA, USA, July 6-8, 2016, [Konferenzveröffentlichung]

Tatarenko, Tatiana (2016):
Stochastic Stability of Potential Function Maximizers in Continuous Version of Independent Log-Linear Learning.
European Control Conference, Aalborg, Denmark, June 29-July 1, 2016, [Konferenzveröffentlichung]


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, Dezember 14-17, [Konferenzveröffentlichung]

Tatarenko, Tatiana (2015):
Synchronous learning of efficient Nash equilibria in potential games with uncoupled dynamics and memoryless players.
European Control Conference 2015, Linz, Österreich, Juli 15-17, [Konferenzveröffentlichung]


Tatarenko, Tatiana (2014):
Proving Convergence of Log-Linear Learning in Potential Games.
American Control Conference, Portland, Oregon, USA, 2014, June 4 - 6, [Konferenzveröffentlichung]

Tatarenko, Tatiana ; Popov, Ivan (2014):
Nash Equilibrium Flow in a Routing Game with Random Queues.
26th Chinese Control and Decision Conference, Changsha, China, 2014, May 31 - June 2, [Konferenzveröffentlichung]

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, June 16 - 19, [Konferenzveröffentlichung]


Tatarenko, Tatiana (2013):
On Convergence of Log-Linear Learning in Potential Games.
UECE Meetings on Game Theory and Applications, Lisbon, Portugal, 7.-9. Nov. 2013, [Konferenzveröffentlichung]

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), S. 69-74. [Artikel]

Diese Liste wurde am Thu Oct 21 07:47:13 2021 CEST generiert.