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books
| book details |
Handbook of Reinforcement Learning and Control
Edited by Kyriakos G. Vamvoudakis, Edited by Yan Wan, Edited by Frank L. Lewis, Edited by Derya Cansever
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| on special |
normal price: R 7 921.95
Price: R 7 525.95
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| book description |
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 and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.Â
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 25 Jun 2022
Language |
Format | Paperback / softback
Pages | 833
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0306-0992-4
Readership Age |
BISAC | technology / electricity
| other options |
Normally shipped |
Readership Age |
Normal Price | R 10 306.95
Price | R 9 790.95
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