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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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Bibliografski detalji
Glavni autor:	Zhao, Shiyu (Autor)
Autor kompanije:	SpringerLink (Online service)
Format:	Elektronički e-knjiga
Jezik:	engleski
Izdano:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Izdanje:	1st ed. 2025.
Teme:	Artificial intelligence. Machine learning. Artificial intelligence > Data processing. Multiagent systems. Artificial Intelligence. Machine Learning. Data Science. Multiagent Systems.
Online pristup:	https://doi.org/10.1007/978-981-97-3944-8
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

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