Multi-UAV formation control via deep reinforcement learning and multi-step experience storage in dense obstacle environments
Transactions of the Institute of Measurement and Control
Published online on November 17, 2025
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
This paper presents a deep reinforcement learning (DRL)-based Multi-Agent Control for Formation and Obstacle Avoidance (MACFOA) algorithm to solve collaborative formation and obstacle avoidance decision-making for unmanned aerial vehicle (UAV) systems in ...
This paper presents a deep reinforcement learning (DRL)-based Multi-Agent Control for Formation and Obstacle Avoidance (MACFOA) algorithm to solve collaborative formation and obstacle avoidance decision-making for unmanned aerial vehicle (UAV) systems in ...