Solving the Goddard problem by an influence diagram

March 18, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors JiΕ™Γ­ Vomlel, VΓ‘clav KratochvΓ­l arXiv ID 1703.06321 Category cs.AI: Artificial Intelligence Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
Influence diagrams are a decision-theoretic extension of probabilistic graphical models. In this paper we show how they can be used to solve the Goddard problem. We present results of numerical experiments with this problem and compare the solutions provided by influence diagrams with the optimal solution.
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