نتایج جستجو برای: fast entropy

تعداد نتایج: 292798  

Journal: :Operations Research 2022

Preconditioning and Regularization Enable Faster Reinforcement Learning Natural policy gradient (NPG) methods, in conjunction with entropy regularization to encourage exploration, are among the most popular optimization algorithms contemporary reinforcement learning. Despite empirical success, theoretical underpinnings for NPG methods remain severely limited. In “Fast Global Convergence of Poli...

Journal: :bulletin of the iranian mathematical society 2012
mehdi rahimi abdolhamid riazi

in this paper we introduce the concept of entropy operator for continuous systems of finite topological entropy. it is shown that it generates the kolmogorov entropy as a special case. if $phi$ is invertible then the entropy operator is bounded with the topological entropy of $phi$ as its norm.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تحصیلات تکمیلی صنعتی کرمان - پژوهشکده برق و کامپیوتر 1390

a phase-locked loop (pll) based frequency synthesizer is an important circuit that is used in many applications, especially in communication systems such as ethernet receivers, disk drive read/write channels, digital mobile receivers, high-speed memory interfaces, system clock recovery and wireless communication system. other than requiring good signal purity such as low phase noise and low spu...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2017
José A Caro Kyle W Harpole Vignesh Kasinath Jackwee Lim Jeffrey Granja Kathleen G Valentine Kim A Sharp A Joshua Wand

Molecular recognition by proteins is fundamental to molecular biology. Dissection of the thermodynamic energy terms governing protein-ligand interactions has proven difficult, with determination of entropic contributions being particularly elusive. NMR relaxation measurements have suggested that changes in protein conformational entropy can be quantitatively obtained through a dynamical proxy, ...

Journal: :CoRR 2015
Carlo Albert

A generic algorithm for the extraction of probabilistic (Bayesian) information about model parameters from data is presented. The algorithm propagates an ensemble of particles in the product space of model parameters and outputs. Each particle update consists of a random jump in parameter space followed by a simulation of a model output and a Metropolis acceptance/rejection step based on a comp...

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