Reinforcement Learning: An Introduction

Richard S Sutton

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Language: English

Published by MIT Press Ltd, 1998

0262193981 / 9780262193986

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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.…

Seller Inventory # CIN0262193981G

Title
Reinforcement Learning: An Introduction
Author
Richard S Sutton
Publisher
MIT Press Ltd
Publication year
1998
Condition
Good
Binding
Hardback
Language
English
ISBN 10
0262193981
ISBN 13
9780262193986

World of Books (was SecondSale)

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