Author: LiChong0309
Lable: Reinforcement Learning 、Machine Learning 、Artificial Intelligence

Reinforcement Learning可以按照下面几个标准分类

1. 不理解环境(Model-free) 理解环境和 (Model-based)

2. 基于概率(Policy-Based RL) 和 基于价值(Value-Based RL)

3. 回合更新(Monte-Carlo update) 和 单步更新(Temporal-Difference update)

4. 在线学习(On-Policy) 和 离线学习(Off-Policy)

5. Reference

强化学习方法汇总 :
https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning/1-1-B-RL-methods/