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 ...

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 ...

Keʻalohi Wang is a freelance writer from Kailua Kona, Hawaiʻi. She has a background in content creating, social media management, and marketing for small businesses. An English Major from University ...

Many sequential decision problems can be formulated as Markov decision processes (MDPs) where the optimal value function (or cost-to-go function) can be shown to satisfy a monotone structure in some ...