TY  - BOOK
AU  - Sutton, Richard S.
AU  - Barto, Andrew G.
TI  - Reinforcement learning: an introduction
SN  - 9780262039246 (hb.)
U1  - 006.31 
PY  - 2020///
CY  - London
PB  - The MIT Press
KW  - Reinforcement learning
KW  - Artificial intelligence
KW  - Multiarmed Bandits
KW  - Finite Markov Decision Process
KW  - Monte Carlo Methods
KW  - Temporal Difference learning
KW  - Bootstrapping
N1  - https://mitpress.mit.edu/books/reinforcement-learning-second-edition
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. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics
ER  -