Localization theory for propagation of quantum information
Most of these asymptotic results are derived under the assumption that the data dimen- sion p is fixed while the sample size n tends to infinity (large sample ...
An Introduction to Large Sample covariance matrices and Their ...Note that |[x ? y]| is the distance between x and y on torus, namely, dist(x, y) := |[x ? y]|. 1. Here we use the same convention as Wolfram ... Part IB - Analysis II - Dexter Chua|x ? y| < ? ? |fN (x) ? fN (y)| < ?. Then for each y such that |x ? y| < ?, we have. |f(x) ? f(y)|?|f(x) ? fN (x)| + |fN (x) ? fN (y)| + |fN (y) ? f(y)| < 3?. An Analysis of Quantile Temporal-Difference LearningWe analyse quantile temporal-difference learning (QTD), a distributional reinforcement learning algorithm that has proven to be a key component in several ...
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