This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
This paper presents a monocular vision framework enabling feature-oriented appearance-based navigation in large outdoor environments containing other moving objects. The framework ...
Sinisa Segvic, Anthony Remazeilles, Albert Diosi, ...
Information collection in the disaster area is an important application of pigeon networks - a special type of delay tolerant networks (DTN). The aim of this paper is to explore hi...
—In this paper we study the propagation of malicious software in wireless ad hoc networks under a probabilistic framework. We design topology control algorithms for the developme...
Vasileios Karyotis, Symeon Papavassiliou, Mary Gra...