Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
Abstract— We consider the problem of Decentralized Simultaneous Localization And Mapping (DSLAM) for pedestrians in the context of Urban Search And Rescue (USAR). In this context...
The United States Department of Defense (DoD) – one of the world’s largest heterogeneous and distributed enterprises – is transforming its information management and sharing...
Two or more components (e.g., objects, modules, or programs) interoperate when they exchange data, such as XML data. Using Application Programming Interface (API) calls exported b...