Approximately optimal control of nonlinear dynamic stochastic problems with learning: the OPTCON algorithm
OPTCON is an algorithm for the optimal control of nonlinear stochastic systems which is
particularly applicable to economic models. It delivers approximate numerical solutions to …
particularly applicable to economic models. It delivers approximate numerical solutions to …
Lost in translation: Explicitly solving nonlinear stochastic optimal control problems using the median objective value
Policy makers constantly face optimal control problems: what controls allow them to achieve
certain targets in, eg, GDP growth or inflation? Conventionally this is done by applying …
certain targets in, eg, GDP growth or inflation? Conventionally this is done by applying …
An evolutionary approach to passive learning in optimal control problems
We consider the optimal control problem of a small nonlinear econometric model under
parameter uncertainty and passive learning (open-loop feedback). Traditionally, this type of …
parameter uncertainty and passive learning (open-loop feedback). Traditionally, this type of …
Stochastic control of econometric models for Slovenia
This paper considers the optimal control of two small stochastic models of the Slovenian
economy applying the OPTCON algorithm. OPTCON determines approximate numerical …
economy applying the OPTCON algorithm. OPTCON determines approximate numerical …
Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization
Policy makers constantly face optimal control problems: what controls allow to achieve
certain targets in, eg, GDP growth or inflation? Conventionally this is done by applying …
certain targets in, eg, GDP growth or inflation? Conventionally this is done by applying …