IEEE International Conference on Distributed Computing Systems (ICDCS) 2023Multi-agent RL Korea Ajou

Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications

Chanyoung Park, Haemin Lee, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim

Published Jul 1, 20234 citationsPaper ↗

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Abstract

This paper proposes a novel centralized training and distributed execution (CTDE)-based multi-agent deep reinforcement learning (MADRL) method for multiple unmanned aerial vehicles (UAVs) control in autonomous mobile access applications. For the purpose, a single neural network is utilized in centralized training for cooperation among multiple agents while maximizing the total quality of service (QoS) in mobile access applications.