IEEE

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph

Abstract: Multi-Agent Reinforcement Learning (MARL) has been successful in solving many cooperative challenges. However, classic non-hierarchical MARL algorithms still cannot address various complex ...
IEEE

Hierarchical Clustering-Based Algorithm for Deployment Planning of LoRa Gateway

Abstract: Long-Range Wide Area Network (LoRaWAN) has become a promising communication method for the Internet of Things (IoT) system since it is capable of long-range communication with low power ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
GitHub

vHPC: a Virtual HPC Cluster with Slurm and MPI

This project is open-sourced by eXact lab S.r.l., a consultancy specializing in scientific and high-performance computing solutions. We help organizations optimize their computational workflows, ...