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 shift from paper documents to their respective electronic formats is producing important advantages in the functioning of businesses and Public Administrations. However, this s...
The protection mechanisms of current mainstream operating systems are inadequate to support confidentiality and integrity requirements for end systems. Mandatory access control (M...
In this paper we consider the solution of scheduling problems that are inherently over-subscribed. In such problems, there are always more tasks to execute within a given time fra...
We propose a generic presentation system for adaptive educational hypermedia that is highly independent from domain knowledge representation and application state management. Our a...