图 书 馆
强化学习简介Introduction to Reinforcement Learning |
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| 课程网址: | http://videolectures.net/mlss08au_szepesvari_rele/ |
| 主讲教师: | Csaba Szepesvári |
| 开课单位: | 阿尔伯塔大学 |
| 开课时间: | 2008-03-17 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The tutorial will introduce Reinforcement Learning, that is, learning what actions to take, and when to take them, so as to optimize long-term performance. This may involve sacrificing immediate reward to obtain greater reward in the long-term or just to obtain more information about the environment. The first part of the tutorial will cover the basics, such as Markov decision processes, dynamic programming, temporal-difference learning, Monte Carlo methods, eligibility traces, the role of function approximation. In the second part we cover some recent developments, namely policy gradient and second order methods, such as LSPI and the modified Bellman residual minimization algorithm. |
| 关 键 词: | 强化学习; 长期性能; 蒙特卡罗方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-17：cjy |
| 阅读次数: | 92 |