Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
We consider the setting of a device that obtains it energy from a battery and some regenerative source such as a solar cell. We consider the speed scaling problem of scheduling a c...
Abstract This paper is concerned with the problem where a mobile robot of size D has to navigate to a target in an unknown planar environment. The competitiveness of an on-line nav...