I recently presented arguments for and against using dynamic memory allocation in C and C++ programs. 1 I do agree that truly safety-critical systems should avoid using dynamic allocation because 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 ...

We present a novel method for deriving tight Monte Carlo confidence intervals for solutions of stochastic dynamic programming equations. Taking some approximate solution to the equation as an input, ...

You could say reactive programming is like functional programming with superpowers. Let's take a look at this dynamic programming style. Reactive programming is an important facet of modern software ...

The paper shows how the technique of dynamic programming was applied to the problem of determining the optimum mix of widths of steel used to `pack' a transformer coil. The approach enables the ...