Results 21 to 30 of about 34,082,428 (320)
A NEW FUNCTION AND ITS MEAN VALUE [PDF]
, 2006 The main purpose of this paper is using the elementary method to study the mean value properties of a new function for n, and give a sharp asymptotic formula for ...
Ding, Liping
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Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates [PDF]
IEEE Transactions on Automatic Control, 2018 This article develops a fully decentralized multiagent algorithm for policy evaluation. The proposed scheme can be applied to two distinct scenarios. In the first scenario, a collection of agents have distinct datasets gathered by following different ...
Lucas Cassano, K. Yuan, A. H. Sayed
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THE A VERAGE VALUE OF THE SMARANDACHE FUNCTION [PDF]
, 2012 Given a positive integer n, let P(n) denote the largest prime factor of n and S(n) denote the smallest integer m such that n divides ...
Finch, Steven R.
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Planning with a Receding Horizon for Manipulation in Clutter Using a Learned Value Function [PDF]
IEEE-RAS International Conference on Humanoid Robots, 2018 Manipulation in clutter requires solving complex sequential decision making problems in an environment rich with physical interactions. The transfer of motion planning solutions from simulation to the real world, in open-loop, suffers from the inherent ...
Wissam Bejjani +3 more
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Cumulative Prospect Theory Version with Fuzzy Values of Outcome Estimates
Risks, 2021 Choosing solutions under risk and uncertainty requires the consideration of several factors. One of the main factors in choosing a solution is modeling the decision maker’s attitude to risk. The expected utility theory was the first approach that allowed
Oleg Uzhga-Rebrov, Peter Grabusts
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Mean value of a Smarandache-Type Function [PDF]
, 2006 In this paper, we use analytic method to study the mean value properties of Smarandache-Type Multiplicative Functions Km(n), and give its asymptotic formula .
Jia, Wang
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Improving Decision Making about Natural Disaster Mitigation Funding in Australia—A Framework
Resources, 2016 Economic losses from natural disasters pose significant challenges to communities and to the insurance industry. Natural disaster mitigation aims to reduce the threat to people and assets from natural perils.
Robin C. van den Honert
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PAC Optimal Exploration Algorithm Named RMAX-KNN
Jisuanji kexue yu tansuo, 2020 The balance of exploration and exploitation is one of the focuses of reinforcement learning research. The exploration helps the agent understand the environment more comprehensively and make better decisions while the exploitation helps the agent make ...
LI Chao, MEN Changqian, WANG Wenjian
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Predictive Value of Spirometry in Screening of Children with Respiratory Disease [PDF]
Reviews in Clinical Medicine, 2020 Introduction:The diagnostic value of spirometry in the evaluation of pulmonary function is known; however, the predictive potential of this method has always been undervalued.
Seyed Javad Sayedi +5 more
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Stochasticity, Nonlinear Value Functions, and Update Rules in Learning Aesthetic Biases
Frontiers in Human Neuroscience, 2021 A theoretical framework for the reinforcement learning of aesthetic biases was recently proposed based on brain circuitries revealed by neuroimaging. A model grounded on that framework accounted for interesting features of human aesthetic biases.
Norberto M. Grzywacz +1 more
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