Handbook of Reinforcement Learning and Control /

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Vamvoudakis, Kyriakos G. (Editor), Wan, Yan (Editor), Lewis, Frank L. (Editor), Cansever, Derya (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Studies in Systems, Decision and Control, 325
Subjects:	Control engineering. Artificial intelligence. Machine learning. Computer security. Computer engineering. Internet of things. Embedded computer systems. Control and Systems Theory. Multiagent Systems. Machine Learning. Privacy. Cyber-physical systems, IoT. Electronic books.
Online Access:	Connect to the full text of this electronic book