图 书 馆
基于模型的强化学习Model-Based Reinforcement Learning |
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| 课程网址: | http://videolectures.net/nips09_littman_mbrl/ |
| 主讲教师: | Michael Littman |
| 开课单位: | 新泽西州立大学 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In model-based reinforcement learning, an agent uses its experience to construct a representation of the control dynamics of its environment. It can then predict the outcome of its actions and make decisions that maximize its learning and task performance. This tutorial will survey work in this area with an emphasis on recent results. Topics will include: Efficient learning in the PAC-MDP formalism, Bayesian reinforcement learning, models and linear function approximation, recent advances in planning. |
| 关 键 词: | 基于模型的强化学习; 构建环境; 模型; 线性函数 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-22：王淑红(课程编辑志愿者) |
| 阅读次数: | 531 |