图 书 馆
强化学习Reinforcement Learning |
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| 课程网址: | http://videolectures.net/mlss05au_aberdeen_rl/ |
| 主讲教师: | Douglas Aberdeen |
| 开课单位: | 澳大利亚信息通信技术研究中心 |
| 开课时间: | 2007-04-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Reinforcement learning is about learning good control policies given only weak performance feedback: occasional scalar rewards that might be delayed from the events that led to good performance. Reinforcement learning inherently deals with feedback systems rather than (data, class) data samples, providing a more flexible control-like framework than many standard machine algorithms. These lectures will summarise reinforcement learning along 3 axes: # Learning with or without knowledge of the system dynamics. # Using state values as an intermediate solution, or learning a policy directly. # Learning with or without fully observable system states. |
| 关 键 词: | 强化学习; 数据样本; 机器算法; 系统动力学 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-15：yumf |
| 阅读次数: | 97 |