# 分步骤，按章节有序，高效的学习强化学习算法.

part one -- Fundational tools
|---chapter 1 basic concept
|---chapter 2 Bellman Equation
|___chapter 3 Bellman Optimality

part two -- Algorithm/Methods
|---chapter 4 Value iteration & Policy iteration
|---chapter 5 Monte Carlo Learning
|---chapter 6 Stochastic Approximation
|---chapter 7 Temporal-Difference learning
|---chapter 8 Value Function Approxiation
|---chapter 9 Policy Function approximation(or policy gradient)
|___chapter 10 Actor-Critic Methods