Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
Government agencies globally are facing problems such as illegal immigration, terrorism, and disease diagnosis and control. Solutions to these problems rely heavily on collaborati...
Seema Degwekar, Jeff DePree, Stanley Y. W. Su, How...
The Blob Code is a bijective tree code that represents each tree on n labelled vertices as a string of n − 2 vertex labels. In recent years, several researchers have deployed th...
We provide a design of a control and management plane for data networks using the abstraction of 4D architecture, utilizing and extending 4D’s concept of a logically centralized...