Cover of Recent Advances in Reinforcement Learning by Kaelbling, Leslie Pack, ISBN 9780792397052
Artificial Intelligence

Recent Advances in Reinforcement Learning

RECENT ADVANCES IN REINFORCEME

Contributor(s): Editor Format: Hardback

Hardback ยท ISBN 9780792397052

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Key Specifications

ISBN 9780792397052
Subtitle RECENT ADVANCES IN REINFORCEME
Publisher Springer
Publication date March 1996
Language English
MRP ยฃ89.99 GBP
Page count 296
Item weight 131 g
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).