Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
In this paper, we consider the exploration of topological environments by a robot with weak sensory capabilities. We assume only that the robot can recognize when it has reached a...
We explore the challenges and research directions in building models, protocols and architectures to support security in pervasive computing environments. We argue that to be succ...
In this paper we explore the current network environment with respect to how the network’s evolution ultimately impacts end-to-end protocols. The traditional end-to-end assumpti...
In this paper, we present an autonomous and scalable WSMO-based methodology to describe quality of service (QoS) and geographic features of e-services in a peer-to-peer based envir...