In this paper, we show how genetic programming (GP) can be used to evolve system-size-independent quantum algorithms, and present a human-competitive Quantum Fourier Transform (QF...
We investigate LP-polytopes generated by mean payoff games and their properties, including the existence of tight feasible solutions of bounded size. We suggest a new associated al...
We propose a dynamic programming algorithm for finding optimal transmission policies for a single packet in ratedistortion optimized media streaming. The algorithm relies on an op...
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...
In this paper, we use the tensor product notation as the framework of a programming methodology for designing block recursive algorithms. We first express a computational problem ...