Advances in Reinforcement Learning

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Tác giả: Abdelhamid Mellouk

Ngôn ngữ: eng

ISBN-13: 978-9535155034

Ký hiệu phân loại: 851.4 Italian poetry

Thông tin xuất bản: Croatia : IntechOpen, 2011

Mô tả vật lý: 1 electronic resource (484 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 206568

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
- Chapter s, 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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