In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Remote data access from disparate sources across a widearea network such as the Internet is problematic due to the unpredictable nature of the communications medium and the lack o...
Users often can not easily express their queries. For example, in a multimedia image by content setting, the user might want photographs with sunsets; in current systems, like QBI...