图 书 馆
积极学习模仿Active Learning for Imitation |
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| 课程网址: | http://videolectures.net/rss2010_lopes_ali/ |
| 主讲教师: | Manuel Lopes |
| 开课单位: | 普利茅斯大学 |
| 开课时间: | 2010-11-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Imitation addresses the problem of learning a task representation and/or solution from observations of a demonstration. From such demonstrations it is possible to extract various kind of information, and different approaches exist to extract each type. Approaches have ranged from regression and classification methods, clustering and inverse reinforcement learning. In this presentation we will review some of these approaches, particularly the ones with an active learning generalization. We will also try to have a unified perspective of some of them, particularly regression and inverse reinforcement learning. We will present new results and discuss the main advantages and disadvantages of using active learning in an imitation setting. |
| 关 键 词: | 模仿; 主动学习泛化; 逆强化学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-16：cjy |
| 阅读次数: | 54 |