Continuous State Dynamic Programming via Nonexpansive Approximation
This page collects files and computer code for the paper Continuous State Dynamic Programming via Nonexpansive Approximation.
This paper studies fitted value iteration for continuous state numerical dynamic programming using nonexpansive function approximators. A number of approximation schemes are discussed. The main contribution is to provide error bounds for approximate optimal policies generated by the value iteration algorithm.