A language that requires less rigid coding on the part of the programmer. It typically features "dynamic typing," which gives the programmer more freedom to pass parameters at runtime without having ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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, ...

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 ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) ...