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list price: $75.00 USD
edition:Hardcover
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category: Computers
published: Feb 1998
ISBN:9780262193986
publisher: The MIT Press
imprint: A Bradford Book

Reinforcement Learning

An Introduction

by Richard S. Sutton & Andrew G. Barto

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intelligence (ai) & semantics
0 of 5
0 ratings
rated!
rated!
list price: $75.00 USD
edition:Hardcover
also available: Hardcover
category: Computers
published: Feb 1998
ISBN:9780262193986
publisher: The MIT Press
imprint: A Bradford Book
Description

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.

Reinforcement learning, 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. In Reinforcement Learning, 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. The only necessary mathematical background is familiarity with elementary concepts of probability.

The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

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.
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Andrew G. Barto is Professor Emeritus in the College of Computer and Information Sciences at the University of Massachusetts Amherst.
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