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Advances in Reinforcement Learning

Editat de Abdelhamid Mellouk
en Limba Engleză Hardback – 13 ian 2011
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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Specificații

ISBN-13: 9789533073699
ISBN-10: 9533073691
Pagini: 484
Dimensiuni: 185 x 266 x 38 mm
Greutate: 0.97 kg
Editura: IntechOpen