Solving the Goddard problem by an influence diagram

2017/03/18 by Jiří Vomlel, Vomlel, Jiří, Václav Kratochví­l +1
Computer Science · #68T37 #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Management and Algorithms #FOS: Computer and information sciences #I.2 #Rough Sets and Fuzzy Logic

paper · pdf · doi:10.48550/arxiv.1703.06321

openalex publication_date 2017/03/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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