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- catalog abstract ""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."--BOOK JACKET.".
- catalog contributor b10701858.
- catalog contributor b10701859.
- catalog created "c1998.".
- catalog date "1998".
- catalog date "c1998.".
- catalog dateCopyrighted "c1998.".
- catalog description ""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."--BOOK JACKET.".
- catalog description "Contents -- Series Foreword -- Preface -- I. The Problem -- 1. Introduction -- 2. Evaluative Feedback -- 3. The Reinforcement Learning Problem -- II. Elementary Solution Methods -- 4. Dynamic Programming -- 5. Monte Carlo Methods -- 6. Temporal-Difference Learning -- III. A Unified View -- 7. Eligibility Traces -- 8. Generalization and Function Approximation -- 9. Planning and Learning -- 10. Dimensions of Reinforcement Learning -- 11. Case Studies -- References -- Summary of Notation -- Index.".
- catalog description "Includes bibliographical references (p. [291]-312) and index.".
- catalog extent "xviii, 322 p. :".
- catalog identifier "0262193981 (alk. paper)".
- catalog identifier "9780262193986 (electronic bk.)".
- catalog identifier "9780585024455 (electronic bk.)".
- catalog isPartOf "Adaptive computation and machine learning".
- catalog issued "1998".
- catalog issued "c1998.".
- catalog language "eng".
- catalog publisher "Cambridge, Mass. : MIT Press,".
- catalog subject "006.3/1 21".
- catalog subject "2012 F-947".
- catalog subject "Artificial Intelligence.".
- catalog subject "Operations Research.".
- catalog subject "Pattern Recognition, Automated.".
- catalog subject "Q 325.6".
- catalog subject "Q325.6 .S88 1998".
- catalog subject "Reinforcement learning.".
- catalog tableOfContents "Contents -- Series Foreword -- Preface -- I. The Problem -- 1. Introduction -- 2. Evaluative Feedback -- 3. The Reinforcement Learning Problem -- II. Elementary Solution Methods -- 4. Dynamic Programming -- 5. Monte Carlo Methods -- 6. Temporal-Difference Learning -- III. A Unified View -- 7. Eligibility Traces -- 8. Generalization and Function Approximation -- 9. Planning and Learning -- 10. Dimensions of Reinforcement Learning -- 11. Case Studies -- References -- Summary of Notation -- Index.".
- catalog title "Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.".
- catalog type "text".