TY  - BOOK
AU  - SUTTON S RICHARD
AU  - BARTO G ANDREW
TI  - REINFORCEMENT LEARNING: AN INTRODUCTION
SN  - 978-0-262-19398-6
U1  - 006.31 SUT 
PY  - 2018///
CY  - LONDON
PB  - THE MIT PRESS
KW  - COMPUTER SCIENCE
KW  - ENGINEERING
KW  - R23
N1  - OPTIMIZATION & AUTOMATION; Computer Science; ALL ENGINEERING BRANCHES
N2  - "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto is a fundamental textbook detailing how an agent learns optimal decisions by interacting with an environment to maximize a reward signal. The book covers core concepts such as agents, environments, policies, reward signals, and value functions, and explores methods like Dynamic Programming, Monte Carlo, and Temporal-Difference learning
ER  -