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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.

Program

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


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)
 
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