—There are increasing capabilities and demands for the remote monitoring of homes and their occupants. There are a variety of options for the architecture of such monitoring syst...
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
This paper addresses an important open problem confronting any decentralized and stateful access control (AC) mechanism for networked systems, particularly when the system at hand...
- Until recently the reasons for reduced efficiency and limited implementation of new security systems has been the insufficient performance of hardware that executes access contro...
In this paper, we consider the design of a policy-based routing system and the role that link state might play. Looking at the problem from a link-state perspective, we propose Ce...