图 书 馆
行为和感知的定性学习，QLAPThe Qualitative Learner of Action and Perception, QLAP |
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| 课程网址: | http://videolectures.net/aaai2010_mugan_qlap/ |
| 主讲教师: | Benjamin Kuipers; Jonathan Mugan |
| 开课单位: | 德克萨斯大学 |
| 开课时间: | 2010-09-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This video presents an introduction to the Qualitative Learner of Action and Perception, QLAP. QLAP autonomously learns a useful state abstraction and a set of hierarchical actions in continuous environments. Learning in QLAP is unsupervised. The agent begins with a very broad discretization of the world (it can only tell if the values of variables are increasing or decreasing). Using this discretization, QLAP creates a set of predictive models. Initially, these models are not very reliable, but for each one QLAP can find new discretizations to improve it. These new discretizations lead to more models creating a perception loop that leads to more accurate models and a finer discretization. The models are then converted into a set of hierarchical actions. |
| 关 键 词: | 自主学习; 人工智能; 离散化 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-02-03：nkq |
| 阅读次数: | 47 |