Results 31 to 40 of about 34,082,428 (320)
On the mean value of the Smarandache LCM function [PDF]
, 2008 For any positive integer n, the famous F.Smarandache LCM function SL(n) defined as the smallest positive integer ...
Lin, Cheng
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Comparing policy gradient and value function based reinforcement learning methods in simulated electrical power trade [PDF]
, 2012 In electrical power engineering, reinforcement learning algorithms can be used to model the strategies of electricity market participants. However, traditional value function based reinforcement learning algorithms suffer from convergence issues when ...
Burt, Graeme +3 more
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Taylor expansions of the value function associated with a bilinear optimal control problem [PDF]
Annales de l'Institut Henri Poincare. Analyse non linéar, 2017 A general bilinear optimal control problem subject to an infinite-dimensional state equation is considered. Polynomial approximations of the associated value function are derived around the steady state by repeated formal differentiation of the Hamilton ...
T. Breiten, K. Kunisch, Laurent Pfeiffer
semanticscholar +1 more source
Mathematical Formulation of an Optimal Execution Problem with Uncertain Market Impact [PDF]
, 2015 We study an optimal execution problem with uncertain market impact to derive a more realistic market model. We construct a discrete-time model as a value function for optimal execution.
Ishitani, Kensuke, Kato, Takashi
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Extending discrete-valued functions [PDF]
Transactions of the American Mathematical Society, 1991 In this paper, we show that for a separable metric space X, every continuous function from a subset S of X into a finite discrete space extends to a continuous function on X if and only if every continuous function from S into any discrete space extends to a continuous function on X.
John Kulesza, Ronnie Levy, Peter Nyikos
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Adaptive Control with Approximated Policy Search Approach
ITB Journal of Engineering Science, 2010 Most of existing adaptive control schemes are designed to minimize error between plant state and goal state despite the fact that executing actions that are predicted to result in smaller errors only can mislead to non-goal states. We develop an adaptive
Agus Naba
doaj +1 more source
Modeling the Relationship between Expected Gain and Expected Value
Asia Marketing Journal, 2016 Rational choice theory holds that the alternative with largest expected utility in the choice set should always be chosen. However, it is often observed that an alternative with the largest expected utility is not always chosen while the choice task ...
Eugene J. S. Won
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On two Kuznetsov’s conjectures
Examples and Counterexamples, 2023 We provide a proof and a counterexample to two conjectures made by N. Kuznetsov.
Florian Oschmann
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The p-value Function and Statistical Inference
American Statistician, 2019 This article has two objectives. The first and narrower is to formalize the p-value function, which records all possible p-values, each corresponding to a value for whatever the scalar parameter of interest is for the problem at hand, and to show how ...
D. Fraser
semanticscholar +1 more source
Zeitschrift für Analysis und ihre Anwendungen, 2005 A topological space \(X\) is said to be perfectly normal if it is Hausdorff, and every closed subset is the zero set of some real continuous function. The authors deal with some properties of the Banach space \(\beta_\alpha^0(X,E)\) of all Baire functions of class \(\alpha\) with relatively compact ranges from a perfectly normal space \(X\) into a ...
Shatery, H. R., Zafarani, J.
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