Solving the Goddard problem by an influence diagram
Artificial Intelligence
2017-03-22 v2
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.
Keywords
Cite
@article{arxiv.1703.06321,
title = {Solving the Goddard problem by an influence diagram},
author = {Jiří Vomlel and Václav Kratochvíl},
journal= {arXiv preprint arXiv:1703.06321},
year = {2017}
}
Comments
10 pages, 2 figures