Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning" (Steklov Mathematical Institute, 8 Gubkina, Moscow)
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 |
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Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning", Moscow |
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October 1, 2024 (Tue) |
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Lecture 1. Mathematical Foundations of Reinforcement Learning D. V. Belomestny October 1, 2024 18:00, Moscow, Steklov Mathematical Institute, room 104 (8 Gubkina)
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October 2, 2024 (Wed) |
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Lecture 2. Mathematical Foundations of Reinforcement Learning D. V. Belomestny October 2, 2024 15:00, Moscow, Steklov Mathematical Institute, room 110 (8 Gubkina)
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October 3, 2024 (Thu) |
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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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