图 书 馆
偏好诱导和逆强化学习Preference elicitation and inverse reinforcement learning |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_rothkopf_elicitation/ |
| 主讲教师: | Constantin A. Rothkopf |
| 开课单位: | 法兰克福高等研究所 |
| 开课时间: | 2011-11-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous work on Bayesian inverse reinforcement learning and allows us to obtain a posterior distribution on the agent's preferences, policy and optionally, the obtained reward sequence, from observations. We examine the relation of the resulting approach to other statistical methods for inverse reinforcement learning via analysis and experimental results. We show that preferences can be determined accurately, even if the observed agent's policy is sub-optimal with respect to its own preferences. In that case, significantly improved policies with respect to the agent's preferences are obtained, compared to both other methods and to the performance of the demonstrated policy. |
| 关 键 词: | （贝叶斯）统计公式; 学习逆强化; 政策绩效 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-18：王淑红(课程编辑志愿者) |
| 阅读次数: | 1247 |