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Moscow Autumn Academy on Reinforcement Learning and Optimal Control
(October 2022)

This autumn school will be dedicated to the topic of reinforcement learning as an approach to solve modern-age optimal control problems. This approach can be used to solve optimization problems where the information about the control system is not available or is incomplete. Of particular interest is to consider how reinforcement learning could be used to solve problems with distributed controls.

Financial support. The event is supported by the Ministry of Science and Higher Education of the Russian Federation (the grant to the Steklov International Mathematical Center, agreement no. 075-15-2019-1614).

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Program Committee
Aseev Sergey Mironovich
Grigorenko Nikolai Leont'evich
Osipov Yurii Sergeevich
Rovenskaya Elena Aleksandrovna

Organizing Committee
Artem'eva Lyudmila Anatol'evna
Aseev Sergey Mironovich
Dryazhenkov Andrei Aleksandrovich
Grigorenko Nikolai Leont'evich
Orlov Sergey Mikhailovich
Rovenskaya Elena Aleksandrovna
Smirnov Alexey Igorevich
Timofeeva Vera Anatol'evna

Institutions
International Institute for Applied Systems Analysis, Laxenburg
Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Steklov International Mathematical Center
Steklov Mathematical Institute of Russian Academy of Sciences, Moscow

 
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