Multi-Agent Reinforcement Learning for Autonomous Drone Swarm Navigation

1. ABSTRACT: Multi-Agent Reinforcement Learning (MARL) for Autonomous Drone Swarm Navigation is an intelligent system designed to enable multiple drones to coordinate and navigate efficiently in complex environments. The system uses reinforcement learning techniques where each drone acts as an independent agent that learns optimal navigation strategies through interaction with the environment. By continuously analyzing factors such as obstacle positions, distance to targets, energy consumption, and the positions of other drones in the swarm, the system determines the most efficient paths for navigation.