Reinforcement Learning Algorithms: Analysis and Applications /

This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Belousov, Boris (Editor), Abdulsamad, Hany (Editor), Klink, Pascal (Editor), Parisi, Simone (Editor), Peters, Jan (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Studies in Computational Intelligence, 883
Subjects:	Computational intelligence. Artificial intelligence. Computational Intelligence. Artificial Intelligence. Electronic books.
Online Access:	Connect to the full text of this electronic book