The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential equation. Such an equation is well-defined (with probability ...

This is a preview. Log in through your library . Abstract The theory of dynamic programming treats problems involving multi-stage processes by means of a transformation of the problem from the space ...

Sequence alignment methods often use something called a 'dynamic programming' algorithm. What is dynamic programming and how does it work?

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 ...

Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems.