Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series) - Hardcover
Synopsis
Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.
"synopsis" may belong to another edition of this title.
About the Authors
Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.
Andrew G. Barto is Professor Emeritus in the College of Computer and Information Sciences at the University of Massachusetts Amherst.
"About this title" may belong to another edition of this title.
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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Bradford Books, 1998
ISBN 10: 0262193981
ISBN 13: 9780262193986
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Reinforcement Learning : An Introduction
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Reinforcement Learning : An Introduction
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Reinforcement Learning
Published by
MIT Press, Cambridge, MA, 1998
ISBN 10: 0262193981
ISBN 13: 9780262193986
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Hardcover. Condition: Near fine. Dust Jacket Condition: Near fine. One of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. InReinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. The only necessary mathematical background is familiarity with elementary concepts of probability. Owner Signature on ffep, fine otherwise. 7¼" - 9¼". Book. Seller Inventory # 278286