An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
Nowadays, the rapid advances in wireless communications, positioning techniques and mobile devices enable location based service such as dynamic traffic navigation. Yet, it is a ch...
Yun Bai, Yanyan Guo, Xiaofeng Meng, Tao Wan, Karin...
Recently, a huge amount of the video data available in the digital form has given users to allow more ubiquitous access to visual information than ever. To efficiently manage such...
Sanghoon Sull, Jung-Rim Kim, Yunam Kim, Hyun S. Ch...
We propose a P2P search solution, called EZSearch, that enables efficient multidimensional search for remotely located contents that best match the search criteria. EZSearch is a h...