Sutton, Richard S., <br/><br/>
Reinforcement learning: an introduction 
Richard S. Sutton and Andrew G. Barto. 
 - Second edition. 
 - Cambridge, Massachusetts :  The MIT Press,  [2018] 
 - xxii, 526 pages :  illustrations (some color) ;  24 cm. 
 - Adaptive computation and machine learning series .
<br/><br/>Includes bibliographical references (pages 481-518) and index. 
<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 (hardcover : alk. paper) 
<br/><br/><label>LCCN: </label>2018023826 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Reinforcement learning.
<br/><br/><label>LC Class. No.: </label>Q325.6  / .R45 2018 
<br/><br/><label>Dewey Class. No.: </label>006.31