Sutton, Richard S., <br/><br/>
Reinforcement learning :  an introduction / 

 - Second edition. 
 - 1 online resource (xxii, 526 pages) :  illustrations. 
 - Adaptive computation and machine learning series .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Preface to the Second Edition -- Preface to the First Edition -- Summary of Notation -- 1. Introduction -- I. Tabular Solution Methods -- II. Approximate Solution Methods -- III. Looking Deeper. 
<br/><br/> Available on-campus and off-campus. 
<br/><br/> "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 while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."-- 
<br/><br/><label>ISBN: </label>9780262039246 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Reinforcement learning.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.