This note deals with the manner in which dynamic problems, involving probabilistic constraints, may be tackled using the ideas of Lagrange multipliers and efficient solutions. Both the infinite and ...

This paper uses using a quantum annealer (a specialized device that performs combinatorial optimization) to solve dynamic programming problems, particularly those of many economic models.

To solve the problem of time-cost tradeoff in project management with available models, a choice must be made between heuristic approaches and algorithms based upon restrictive assumptions about the ...

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 ...