Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
Effective security mechanisms are essential to the widespread deployment of pervasive systems. Much of the research focus on security in pervasive computing has revolved around dis...
Portable music players such as Apple's iPod have become ubiquitous in many environments, but one environment in particular has elicited new safety concerns and challenges -in...
Dario D. Salvucci, Daniel Markley, Mark Zuber, Dun...
In environments where exact synchronization between source data objects and cached copies is not achievable due to bandwidth or other resource constraints, stale (out-of-date) cop...
There exist several applications of sensor networks where reliability of data delivery can be critical. While the redundancy inherent in a sensor network might increase the degree...
Seung-Jong Park, Ramanuja Vedantham, Raghupathy Si...