Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning"

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Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning"
(Steklov Mathematical Institute, 8 Gubkina, Moscow)

We kindly ask all participants, including remote ones,
to register at https://forms.gle/Kg7jcQb9FnNraVFA6.

This course offers a deep dive into the mathematical principles that underlie reinforcement learning (RL), bridging the gap between theory and application. Designed for advanced undergraduates, graduate students, and professionals with a background in mathematics and machine learning, the course covers key mathematical concepts that form the foundation of modern RL algorithms.

The mini course is part of the International Thematic Program “Mathematical Foundations of Artificial Intelligence".

Program

Lecturer
Belomestny Denis Vital'evich, University of Duisburg-Essen, HSE University

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. 075-15-2022-265).

Institutions
Steklov Mathematical Institute of Russian Academy of Sciences, Moscow
Steklov International Mathematical Center


*Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning", Moscow*

	*October 1, 2024 (Tue)*

1.	Lecture 1. Mathematical Foundations of Reinforcement Learning D. V. Belomestny October 1, 2024 18:00, Moscow, Steklov Mathematical Institute, room 104 (8 Gubkina)


	*October 2, 2024 (Wed)*

2.	Lecture 2. Mathematical Foundations of Reinforcement Learning D. V. Belomestny October 2, 2024 15:00, Moscow, Steklov Mathematical Institute, room 110 (8 Gubkina)


	*October 3, 2024 (Thu)*

3.	Lecture 3. Mathematical Foundations of Reinforcement Learning D. V. Belomestny October 3, 2024 18:00, Moscow, Steklov Mathematical Institute, room 104 (8 Gubkina)

Registration to the website

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