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- W2034673942 abstract "In this paper, the problem of exploring stochastic graphs is addressed. The definition of the entropy related to the a-priori unknown parameters (the lengths of the a-priori unknown links) leads to the formulation of the problem as a stochastic optimal control one. The application of exact Dynamic Programming suffers the so-called curse of dimensionality. To overcome this drawback, an approximate technique is proposed making use of Neuro-Dynamic Programming. Exploiting the concept of frontier , any approximate solution of the problem is shown to generate a “proper” policy." @default.
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- W2034673942 date "2005-01-01" @default.
- W2034673942 modified "2023-10-14" @default.
- W2034673942 title "NEURO-DYNAMIC PROGRAMMING FOR THE EXPLORATION OF UNKNOWN GRAPHS" @default.
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- W2034673942 doi "https://doi.org/10.3182/20050703-6-cz-1902.00928" @default.
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