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时间差网络的在线发现

On-line Discovery of Temporal-Difference Networks
课程网址: http://videolectures.net/icml08_makino_odt/  
主讲教师: Takaki Makino
开课单位: 东京大学
开课时间: 2008-08-04
课程语种: 英语
中文简介:
我们提出了一种在线,增量发现时间差(TD)网络的算法。关键贡献是建立三个标准以扩展TD网络中的节点:当节点众所周知时,节点被扩展,独立,并且具有需要进一步解释的预测误差。由于这些标准都不需要集中计算操作,因此与预测状态表示的其他发现方法相比,它们可以以并行和分布的方式容易地计算,并且可以扩展以用于更大的问题。通过计算机实验,我们证明了我们的算法的经验有效性。
课程简介: We present an algorithm for on-line, incremental discovery of temporal-difference (TD) networks. The key contribution is the establishment of three criteria to expand a node in TD network: a node is expanded when the node is well-known, independent, and has a prediction error that requires further explanation. Since none of these criteria requires centralized calculation operations, they are easily computed in a parallel and distributed manner, and scalable for bigger problems compared to other discovery methods of predictive state representations. Through computer experiments, we demonstrate the empirical effectiveness of our algorithm.
关 键 词: 预测误差; 计算机实验; 时间差网络
课程来源: 视频讲座网
最后编审: 2019-04-19:lxf
阅读次数: 55