图 书 馆
CORL：一个连续状态偏移动力学强化学习CORL: A Continuous-state Offset-dynamics Reinforcement Learner |
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| 课程网址: | http://videolectures.net/uai08_brunskill_corl/ |
| 主讲教师: | Emma Brunskill |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2008-07-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Continuous state spaces and stochastic, switching dynamics characterize a number of rich, real world domains, such as robot navigation across varying terrain. We describe a reinforcement learning algorithm for learning in these domains and prove for certain environments the algorithm is probably approximately correct with a sample complexity that scales polynomially with the state-space dimension. Unfortunately, no optimal planning techniques exist in general for such problems; instead we use fitted value iteration to solve the learned MDP, and include the error due to approximate planning in our bounds. Finally, we report an experiment using a robotic car driving over varying terrain to demonstrate that these dynamics representations adequately capture real-world dynamics and that our algorithm can be used to efficiently solve such problems. |
| 关 键 词: | 学习者; 计算机科学; 人工智能 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-12：邬启凡(课程编辑志愿者) |
| 阅读次数: | 48 |