人工智能的分类
机器学习和数据挖掘
机器学习和统计学习
深度学习框架
参考教程
达特茅斯会议
强化学习
1.In RL, there are evaluative feedbacks but no supervised labels. evaluative
feedbacks can not indicate whether a decision is correct or not, as labels in
supervised learning.
2. Deep learning , or deep neural networks , can work with/as these and other
machine learning approaches. Deep RL is an integration of deep learning and RL.
什么是强化学习 https://www.bilibili.com/video/av16921335?zw
强化学习方法汇总 https://www.bilibili.com/video/av16921335/?p=2
