图 书 馆
深度强化学习Deep Reinforcement Learning |
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| 课程网址: | http://videolectures.net/rldm2015_silver_reinforcement_learning/ |
| 主讲教师: | David Silver |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2015-07-28 |
| 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: | 强化学习; 深度学习; 结合 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-10-28：yxd |
| 最后编审: | 2020-11-02：yxd |
| 阅读次数: | 57 |