Recent Advances in Reinforcement Learning PDF Download

Recent Advances in Reinforcement Learning PDF
By:Leslie Pack Kaelbling
Published on 2007-08-28 by Springer

Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).

This Book was ranked at 6 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Recent Advances in Reinforcement Learning's Books is XFDkzJIbzMIC, Book which was written byLeslie Pack Kaelblinghave ETAG "V8+ubxmVSQE"

Book which was published by Springer since 2007-08-28 have ISBNs, ISBN 13 Code is 9780585336565 and ISBN 10 Code is 0585336563

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