Dynamic one-time delivery of critical data by small and sparse UAV swarms: a model problem for MARL scaling studies

This article presents a research paper focusing on the use of UAV swarms for data delivery. The core of the research appears to be exploring the scalability of Multi-Agent Reinforcement Learning (MARL) through the simulation of UAV swarms. The problem is framed as a model for studying how MARL algorithms perform with increasing swarm size and complexity. The focus is on dynamic, one-time data delivery, suggesting a specific application scenario. The title clearly indicates the research area and the problem being addressed.