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portada Advances in Reinforcement Learning
Type
Physical Book
Publisher
Author
Language
English
Pages
486
Format
Hardcover
Dimensions
24.4x17x2.7 cm
Weight
0.97 kg.
ISBN13
9789533073699
Categories

Advances in Reinforcement Learning

Mellouk, Abdelhamid (Author) · Intechopen · Hardcover

Advances in Reinforcement Learning - Mellouk, Abdelhamid

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Synopsis "Advances in Reinforcement Learning"

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.

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The binding of this edition is Hardcover.

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