TY  - BOOK
AU  - Sutton,Richard S.
AU  - Barto,Andrew G.
ED  - Project Muse.
TI  - Reinforcement Learning : : An Introduction / 
T2  - Adaptive computation and machine learning
SN  - 9780262257053
PY  - 1998///
CY  - Cambridge, Mass.
PB  - MIT Press
KW  - Reinforcement learning
KW  - nli
KW  - Intel·ligencia artificial
KW  - lemac
KW  - Leren
KW  - gtt
KW  - Reinforcement
KW  - Kunstmatige intelligentie
KW  - fast
KW  - Reinforcement learning (Machine learning)
KW  - blmlsh
KW  - artificial intelligence
KW  - aat
KW  - Recherche operationnelle
KW  - Reconnaissance des formes (Informatique)
KW  - Intelligence artificielle
KW  - Apprentissage par renforcement (Intelligence artificielle)
KW  - Operations Research
KW  - Pattern Recognition, Automated
KW  - Artificial Intelligence
KW  - Operations research
KW  - Pattern recognition systems
KW  - Artificial intelligence
KW  - Electronic books.
KW  - local
N1  - Contents --; Series Foreword --; Preface --; I; The Problem --; 1; Introduction --; 2; Evaluative Feedback --; 3; The Reinforcement Learning Problem --; II; Elementary Solution Methods --; 4; Dynamic Programming --; 5; Monte Carlo Methods --; 6; Temporal-Difference Learning --; III; A Unified View --; 7; Eligibility Traces --; 8; Generalization and Function Approximation --; 9; Planning and Learning --; 10; Dimensions of Reinforcement Learning --; 11; Case Studies --; References --; Summary of Notation --; Index; Open Access
N2  - "In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability."--Jacket
UR  - https://muse.jhu.edu/book/60836/
ER  -