This is a preview. Log in through your library . Abstract This paper describes a dynamic programming model that has been developed to determine an optimal expansion plan for the generating capacity of ...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization.

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

This paper presents semiparametric identification results for the Rust (1994) class of discrete choice dynamic programming (DCDP) models. We develop sufficient conditions for identification of the ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors ...