Solving the Goddard problem by an influence diagram
  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.
