图 书 馆
主动学习的无监督自举以解决实体问题Unsupervised Bootstrapping of Active Learning for Entity Resolution |
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| 课程网址: | http://videolectures.net/eswc2020_primpeli_paper_80/ |
| 主讲教师: | Anna Primpeli |
| 开课单位: | 曼海姆大学 |
| 开课时间: | 2020-05-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this tutorial I will discuss how reinforcement learning (RL) can be combined with deep learning (DL). There are several ways to combine DL and RL together, including value-based, policy-based, and model-based approaches with planning. Several of these approaches have well-known divergence issues, and I will present simple methods for addressing these instabilities. The talk will include a case study of recent successes in the Atari 2600 domain, where a single agent can learn to play many different games directly from raw pixel input. |
| 关 键 词: | 主动学习; 深度学习; Atari |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-08-03：yumf |
| 最后编审: | 2020-08-03：yumf |
| 阅读次数: | 34 |