TY  - BOOK
AU  - Sutton,Richard S.
AU  - Barto,Andrew G.
TI  - Reinforcement learning: an introduction 
T2  - Adaptive computation and machine learning series
SN  - 9780262039246
PY  - 2018///]
CY  - Cambridge, Massachusetts
PB  - The MIT Press
KW  - Reinforcement learning
KW  - NGU-sh
KW  - Electronic books
N1  - Includes bibliographical references and index; 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; Available on-campus and off-campus
N2  - "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."--
UR  - https://mitpress.ublish.com/ebook/reinforcement-learning-an-introduction-2-preview/2351/Cover
ER  -