Reinforcement learning : an introduction /
Sutton, Richard S.
Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto - 2nd ed. - Cambridge : The MIT Press, 2020 - xxii, 526 p. - Adaptive computation and machine learning .
Includes bibliographical references 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."-- Provided by publisher
Eng
9780262039246
Reinforcement learning
006.31 / SUT-R
Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto - 2nd ed. - Cambridge : The MIT Press, 2020 - xxii, 526 p. - Adaptive computation and machine learning .
Includes bibliographical references 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."-- Provided by publisher
Eng
9780262039246
Reinforcement learning
006.31 / SUT-R