function and use value function iteration to compute the value function for the optimal policy. Polynomial approximations are … natural choices for approximating value functions when we know that the true value function is smooth. However, numerical … value function iteration with polynomial approximations is unstable because standard methods such as interpolation and least …

assume that the value function is a function of both the current and the initial values of the state variables. As Wälde (J … Econ Dyn Control 35:616–622, <CitationRef CitationID="CR7">2011a</CitationRef>) argues, the value function should depend … different value function. Copyright Springer-Verlag 2013 …

selecting a single value function representing the outcomes of ERA. In the interactive process, the decision maker (DM) is …

This paper studies a value function iteration algorithm based on nonexpansive function approximation and Monte Carlo …

function and use value function iteration to compute the value function for the optimal policy. Polynomial approximations are … natural choices for approximating value functions when we know that the true value function is smooth. However, numerical … value function iteration with polynomial approximations is unstable because standard methods such as interpolation and least …

MILP model to two types of preference models: an additive value function and an outranking relation. Illustrative example …