强化学习理论Reinforcement Learning Theory |
|
课程网址: | http://videolectures.net/mlss06tw_langford_rlt/ |
主讲教师: | John Langford |
开课单位: | 微软公司 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 本教程介绍了近7年来发展起来的几种新的强化学习理论。这包括:\\ 1。基于样本的RL分析,包括E3和稀疏采样。基于归纳的RL分析,包括保守策略迭代和RL到分类缩减。\\n对于这些理论的每一种形式,我们都涵盖了基本结果,并涵盖了该方法在上下文中的弱点和优势。 |
课程简介: | The tutorial is on several new pieces of Reinforcement learning theory developed in the last 7 years. This includes:\\ 1. Sample based analysis of RL including E3 and sparse sampling.\\ 2. Generalization based analysis of RL including conservative policy iteration and RL-to-Classification reductions.\\ For each of these forms of theory, we cover the basic results and cover the weaknesses and strengths of the approach in context. |
关 键 词: | 强化学习理论; 稀疏采样分析; 保守策略迭代; RL分类减量分析 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-08:吴雨秋(课程编辑志愿者) |
阅读次数: | 65 |