The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
: Constraint satisfaction programming (CSP) is a powerful paradigm for solving complex combinatorial problems, which has gained a lot of attention recently. Putting the power of co...
The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been shown to be a powerful tool in developing quantum algorithms. However, in classi...
In this paper we propose adaptive content-driven routing and data dissemination algorithms for intelligently routing search queries in a peer-to-peer network that supports mobile ...
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...