Mathematical Foundations of Reinforcement Learning

This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous il...

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Главный автор:	Zhao, Shiyu (Автор)
Соавтор:	SpringerLink (Online service)
Формат:	Электронный ресурс eКнига
Язык:	английский
Опубликовано:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Редактирование:	1st ed. 2025.
Предметы:	Artificial intelligence. Machine learning. Artificial intelligence > Data processing. Multiagent systems. Artificial Intelligence. Machine Learning. Data Science. Multiagent Systems.
Online-ссылка:	https://doi.org/10.1007/978-981-97-3944-8
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