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 ...

“It was a really challenging dynamic for me, but I don’t think ... I wasn’t even that aware of what the Method thing was. I never had any formal training; I think I was just kind of ...

In this article, you will learn about two common approaches to solve this problem: dynamic programming ... You should use greedy methods if you can tolerate some approximation, if the items ...

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 ...

You might be wondering whether to embrace the capabilities of artificial intelligence (AI) or to stick with the well-established methods of traditional programming. This decision is pivotal and ...

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 ...