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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.
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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.
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series)
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Reinforcement Learning : An Introduction
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series)
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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Bradford Books (edition First Edition), 1998
ISBN 10: 0262193981
ISBN 13: 9780262193986
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