TY  - BOOK
AU  - Sutton, Richard S.
AU  - Barto, Andrew G.
TI  - Reinforcement Learning: An Introduction
SN  - 9780262039246
U1  - 006.31 
PY  - 2018///
CY  - USA
PB  - MIT Press
KW  - Computer Engineering
N1  - Introduction
Part 1: Tabular Solution Methods
Multi Armed Bandits
Finite Markov Decision Processes
Dynamic Programming
Monte Carlo Methods
Temporal Difference Learning
N-Step Bootstrapping
Planning and Learning with Tabular Methods
Part 2: Approximate Solution Methods
On-Policy Prediction with Approximation
On-Policy Control with Approximation
Off-Policy Methods with Approximation
Eligibility Traces
Policy Gradient Methods
Part 3: Looking Deeper
Psychology
Neuroscience
Applications and Case Studies
Frontiers

ER  -