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.

We present an Approximate Dynamic Programming (ADP) approach for the multidimensional knapsack problem (MKP). We approximate the value function (a) using parametric and nonparametric methods and (b) ...

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 ...

Dynamic programming is used to solve some simple gambling models. In particular we consider the situation where an individual may bet any integral amount not greater than his fortune and he will win ...

The Vice Chancellor, University of Ibadan, Professor Kayode Adebowale, and experts from different parts of the world have stressed the need to apply mathematical modellings in solving problems faced ...

Whether you're just starting out as a coder or want to advance your coding skills, tackling programming problems is part of the plan. Convenient, free, and even fun, coding problem websites challenge ...