This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
A high-performance data-path to implement DSP kernels is proposed in this paper. The data-path is based on a flexible, universal, and regular component to optimally exploiting both...
Michalis D. Galanis, George Theodoridis, Spyros Tr...
In avionics domain, the software applications grew to millions of source lines of code representing important development expenditures. To cut the costs, the avionics suppliers ar...
We present direct proofs of termination of evaluation for typed delimited-control operators shift and reset using a variant of Tait’s method with context-based reducibility pred...