Hybrid Methods for Continuous Space Dynamic Programming

摘要: We propose a method for solving continuous-state and action-stochastic dynamic programs that is hybrid between the continuous space projection methods introduced by Judd discrete Bellman. Our approach yields smooth representation of value function while preserving computational simplicity programming. especially well suited implementation in vector processing environment such as MATLAB or GAUSS, makes it possible to automate setup solution way previously seemed elusive.