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Number of items: 16.

Zimmermann, Jan and Tatarenko, Tatiana (2019):
Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren.
In: at - Automatisierungstechnik, pp. 922-935, 67, (11), ISSN 2196-677X (Online) bzw. 0178-2312 (Print),
DOI: 10.1515/auto-2019-0064,
[Online-Edition: https://www1.rmr.tu-darmstadt.de/pdf/zimmermann-2019.pdf],
[Article]

Nedić, A. and Tatarenko, Tatiana (2017):
On stochastic proximal-point method for convex-composite optimization.
In: 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton, USA, October, 2017, [Conference or Workshop Item]

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

Tatarenko, Tatiana and Kamgarpour, M. (2017):
Payoff-Based Approach to Learning Nash Equilibria in Convex Games.
In: 20th IFAC World Congress, Toulouse, France, July, 2017, [Conference or Workshop Item]

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

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

Tatarenko, Tatiana (2016):
Stochastic Payoff-Based Learning in Multi-Agent Systems Modeled by Means of Potential Games.
In: Conference on Decision and Control, Las Vegas, USA, December 12-15, 2016, [Conference or Workshop Item]

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

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

Tatarenko, Tatiana (2015):
1-Recall Reinforcement Learning Leading to an Optimal Equilibrium in Potential Games with Discrete and Continuous Actions.
In: IEEE Conference on Decision and Control 2015, Osaka, Japan, Dezember 14-17, [Conference or Workshop Item]

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

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

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

Tatarenko, Tatiana (2014):
A Game Theoretic and Control Theoretic Approach to Incentive-Based Demand Management in Smart Grids.
In: 22nd Mediterranean Conference on Control & Automation, Palermo, Italy, June 16 - 19, [Conference or Workshop Item]

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

Zubkov, A. M. and 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, pp. 69-74, 93, (1), [Article]

This list was generated on Tue Nov 19 00:47:06 2019 CET.