图 书 馆
马尔可夫决策过程：基于偏好的参考点Markov Decision Processes with Ordinal Rewards: Reference Point-Based Preferences |
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| 课程网址: | http://videolectures.net/icaps2011_weng_preferences/ |
| 主讲教师: | Paul Weng |
| 开课单位: | 巴黎第六大学 |
| 开课时间: | 2011-07-11 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In a standard Markov decision process (MDP), rewards are assumed to be precisely known and of quantitative nature. This can be a too strong hypothesis in some situations. When rewards can really be modeled numerically, specifying the reward function is often difficult as it is a cognitively-demanding and/or time-consuming task. Besides, rewards can sometimes be of qualitative nature as when they represent qualitative risk levels for instance. In those cases, it is problematic to use directly standard MDPs and we propose instead to resort to MDPs with ordinal rewards. Only a total order over rewards is assumed to be known. In this setting, we explain how an alternative way to define expressive and interpretable preferences using reference points can be exploited. |
| 关 键 词: | 马尔可夫决策; MDP; 数值模拟 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：yumf |
| 阅读次数: | 72 |