Reinforcement learning: an introduction. Sutton, R. S. & Barto, A. G. The MIT Press, Cambridge, Massachusetts, Second edition edition, 2018. abstract bibtex "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."–
@book{sutton_reinforcement_2018,
address = {Cambridge, Massachusetts},
edition = {Second edition},
series = {Adaptive computation and machine learning series},
title = {Reinforcement learning: an introduction},
isbn = {978-0-262-03924-6},
shorttitle = {Reinforcement learning},
abstract = {"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."--},
language = {en},
publisher = {The MIT Press},
author = {Sutton, Richard S. and Barto, Andrew G.},
year = {2018},
keywords = {/unread, Reinforcement learning},
}
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