Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
We consider the problem of dynamically hedging the profits of a corporation when these profits are correlated with returns in the financial markets. In particular, we consider the...
We present a framework for evaluating and generating access control policies. The framework contains a modelling formalism called RW, which is supported by a model checking tool. ...
An access control system regulates the rights of users to gain access to resources in accordance with a specified policy. The rules in this policy may interact in a way that is n...