We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
Autonomous robots need the ability to move purposefully and without human intervention in real-world environments that have not been speci cally engineered for them. These environm...
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
: Under water sensor network is an important research direction in computer science. There are many interesting optimization problems regarding its design, routing and applications...