Sutton, Richard S. <br/><br/>
Reinforcement learning  : an introduction 
/ Richard S. Sutton and Andrew G. Barto 
 - Second edition 
 - 1 online resource :  illustrations 
 - Adaptive computation and machine learning .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Reinforcement learning Part I. Tabular solution methods Multi-armed bandits Finite Markov decision processes Dynamic programming Monte Carlo methods Temporal-difference learning n-step bootstrapping Planning and learning with tabular methods Part II. Approximate solution methods On-policy prediction with approximation On-policy control with approximation Off-policy methods with approximation Eligibility traces Policy gradient methods Part III. Looking deeper Psychology Neuroscience Applications and case studies Frontiers  
<br/><br/><label>Subjects--Topical Terms: </label><br/>Reinforcement learning
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic Books