there are many different methods to stretch our muscles and joints, each with their own unique benefits. Here’s a look at static versus dynamic stretching, what each type of stretching helps you ...

We adopted Q-learning and ε-greedy methods. In addition, we utilized a neural network ... Q-learning is a form of reinforcement learning, and unlike dynamic programming, it does not require a complete ...

There is no difference in the effectiveness of the two most commonly used methods for administering medication during out-of-hospital cardiac arrest. This is shown in a large new clinical study ...

We introduce a dynamic allocation system based on potentials derived from dual prices of a linear programming ... between 89% and 92% of the optimum matching in hindsight. (The year 2018 is an outlier ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming ... algorithms for greedy scheduling and Huffman codes. We will also learn some interesting cases when being ...

Abstract: In this paper, a new iterative adaptive dynamic programming (ADP ... for the first time a new “design method of the convergence criteria” for the finite-approximation-error-based generalized ...