In it, they use dynamic programming to create a retirement income strategy for a simplified world with three time periods and two investment outcomes.

We use the modeling and algorithmic framework of approximate dynamic programming, which uses an intuitive balance of simulation and optimization with feedback learning, to produce a highly detailed ...

Among the principal techniques used in the paper are dynamic programming for both bucking and sawing, and a procedure for calculating the distance between two polyhedral sets in R 2. Computational ...