We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
The quality of the search experience has been an enduring problem for the World Wide Web. One of the well-known difficulties is the tendency of users to use short, under-specified...
Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Rob...
Semantic Web technology has a vision to define and link Web data in a way that it can be understood and used by machines for automation, integration and reuse of data across variou...
The 2000 Usenix Technical Conference included a presentation outlining the state of the X rendering environment and the capabilities necessary to bring X into the modern world. Du...
Human behavior representation (HBR) is an elusive, yet critical goal for many in the simulation community. Requirement specifications related to HBR often exceed current capabilit...
John C. Giordano, Paul F. Reynolds Jr., David C. B...