Reinforcement learning : an introduction
Sutton, Richard S.,
Reinforcement learning : an introduction - 2nd ED - London MIT Press 2018 - xxii, 526 p illustrations (some color) ; - 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
Reinforcement learning.
006.31 / SUT/R
Reinforcement learning : an introduction - 2nd ED - London MIT Press 2018 - xxii, 526 p illustrations (some color) ; - 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
Reinforcement learning.
006.31 / SUT/R