We propose two algorithms for Q-learning that use the two-timescale stochastic approximation methodology. The first of these updates Q-values of all feasible state
Updates over virtual XML views that wrap relational data are not well supported by XML data management systems. This paper studies the problem of whether a correct relational upda...
A real-time object is one whose state may become invalid with the passage of time. A temporal validity interval is associated with the object state, and the real-time object is te...
Minimal change is a fundamental principle for modeling system dynamics. In this paper, we study the issue of minimal change for Computational Tree Logic (CTL) model update. We firs...
Estimating the rate of Web page updates helps in improving the Web crawler’s scheduling policy. But, most of the Web sources are autonomous and updated independently. Clients li...