Modified Schwarzschild metric from a unitary accelerating mirror analog

Traversable wormholes from surgically modified Schwarzschild spacetimes

In this paper I present a new class of traversable wormholes. This is done by surgically grafting two Schwarzschild spacetimes together in such a way that no event horizon is permitted to form. This surgery concentrates a non– zero stress–energy on the boundary layer between the two asymptotically flat regions. I shall investigate this stress–energy in detail using the “junction condition” form...

Double Relativistic Electron Accelerating Mirror

In the present paper, the possibility of generation of thin dense relativistic electron layers is shown using the analytical and numerical modeling of laser pulse interaction with ultra-thin layers. It was shown that the maximum electron energy can be gained by optimal tuning between the target width, intensity and laser pulse duration. The optimal parameters were obtained from a self-consisten...

Mirror Descent for Metric Learning

Most metric learning methods are characterized by diverse loss functions and projection methods, which naturally begs the question: is there a wider framework that can generalize many of these methods? In addition, ever persistent issues are those of scalability to large data sets and the question of kernelizability. We propose a unified approach to Mahalanobis metric learning: an online regula...

Accelerating Reinforcement Learning by Mirror Images

あらまし 本研究では,強化学習の代表的な手法の Q学習を使用して,追跡問題のための学習速度の向上手法を提案 する.本研究のアイデアは,鏡像による対称性を利用して,フィールドの Q値を学習することにある.このことで左 右の対象差のみを伴う学習をすることが可能である.また,Q値の同時更新による収束性についても論じる. In this investigation we propose how to accelerate Q-learning which is one of the most successful reinforcement learning methods using mirror images for hunting problems. Mirror images have symmetric differences on right and left views, th...

Metric Relations among Analog Computers