This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists. It also contains several new results. An html version is available.
%0 Book
%1 sutton1998rli
%A Sutton, Richard S.
%A Barto, Andrew G.
%D 1998
%I MIT Press
%K computational learning machine reinforcement supervised wleformativeeassessment
%T Reinforcement Learning: An Introduction
%U http://www.cs.ualberta.ca/~sutton/book/the-book.html
%X This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists. It also contains several new results. An html version is available.
@book{sutton1998rli,
abstract = {This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists. It also contains several new results. An html version is available.},
added-at = {2008-09-26T11:05:09.000+0200},
author = {Sutton, Richard S. and Barto, Andrew G.},
biburl = {https://www.bibsonomy.org/bibtex/222063d43301bdff5387f812f3d59499b/yish},
interhash = {9369ad4b6ab9e5aa15fb456143e9a09d},
intrahash = {22063d43301bdff5387f812f3d59499b},
keywords = {computational learning machine reinforcement supervised wleformativeeassessment},
publisher = {MIT Press},
timestamp = {2008-09-26T11:05:09.000+0200},
title = {Reinforcement Learning: An Introduction},
url = {http://www.cs.ualberta.ca/~sutton/book/the-book.html},
year = 1998
}