Reinforcement learning: an introduction
Sutton, Richard S.,
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 .
Includes bibliographical references (pages 481-518) and index.
"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."--
9780262039246 (hardcover : alk. paper)
2018023826
Reinforcement learning.
Q325.6 / .R45 2018
006.31
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 .
Includes bibliographical references (pages 481-518) and index.
"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."--
9780262039246 (hardcover : alk. paper)
2018023826
Reinforcement learning.
Q325.6 / .R45 2018
006.31