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从多个演示中学习控制Learning for Control from Multiple Demonstrations |
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| 课程网址: | http://videolectures.net/icml08_coates_lcmd/ |
| 主讲教师: | Adam Coates |
| 开课单位: | 百度公司 |
| 开课时间: | 2008-08-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We consider the problem of learning to follow a desired trajectory when given a small number of demonstrations from a sub-optimal expert. We present an algorithm that (i) extracts the---initially unknown---desired trajectory from the sub-optimal expert's demonstrations and (ii) learns a local model suitable for control along the learned trajectory. We apply our algorithm to the problem of autonomous helicopter flight. In all cases, the autonomous helicopter's performance exceeds that of our expert helicopter pilot's demonstrations. Even stronger, our results significantly extend the state-of-the-art in autonomous helicopter aerobatics. In particular, our results include the first autonomous tic-tocs, loops and hurricane, vastly superior performance on previously performed aerobatic maneuvers (such as in-place flips and rolls), and a complete airshow, which requires autonomous transitions between these and various other maneuvers. |
| 关 键 词: | 次优专家; 少量演示; 期望轨迹 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-18：cwx |
| 阅读次数: | 89 |