5G Network Slicing Optimization using Reinforcement Learning Overview: This repository contains code and resources for optimizing 5G network slicing using reinforcement learning techniques. Network ...

The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep ...

We design a deep reinforcement learning (DRL)-based-ADMOA, which determines a clever policy to solve it in a dynamic environment. In addition, we further design a hierarchical reinforcement ...

Code of the paper: Virtual Network Function placement optimization with Deep Reinforcement Learning. In this project, an attentional sequence-to-sequence model is used to predict real-time solutions ...

Deep reinforcement learning (in which the artificial intelligence agent is represented by a deep neural network) has also been applied to the production optimization problem [27,28]. Ma et al. [ 27 ] ...

In large and complex systems, operational decision-making requires a systematic analysis with a vast amount of data from both process parameters and component status monitoring. In this paper, we ...