Abstract: Dynamic programming is a numerical method to solve a dynamic optimal control problem. Due to its numerical framework, it is very suitable to describe discrete dynamics, nonlinear ...

Abstract: This brief studies the stochastic optimal control problem via reinforcement learning and approximate/adaptive dynamic programming (ADP). A policy iteration algorithm is derived in the ...

This course will provide you basic Understanding of principles behind machine learning problems and will help implement and organize machine learning projects.

I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a ...