@article{ART003139172},
author={Jin-Ho Ahn and Byung-In Choi and Tae-Young Lee and Hae-Moon Kim and Hyun-Hak Kim},
title={Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={11},
pages={79-88},
doi={10.9708/jksci.2024.29.11.079}
TY - JOUR
AU - Jin-Ho Ahn
AU - Byung-In Choi
AU - Tae-Young Lee
AU - Hae-Moon Kim
AU - Hyun-Hak Kim
TI - Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 11
PB - The Korean Society Of Computer And Information
SP - 79
EP - 88
SN - 1598-849X
AB - With the advancement of unmanned aerial vehicle technology, swarm drones are increasingly being deployed across various domains, including disaster response and military operations, where their effectiveness is particularly pronounced. These swarm drones leverage real-time data sharing and decision-making capabilities to execute tactical missions, making collaborative behavior essential in complex battlefield environments. However, traditional rule-based behavior mechanisms face limitations as environmental complexity escalates. This paper explores the potential of applying multi-agent reinforcement learning (MARL) to swarm drone models and proposes strategies to enhance their mission success rates. By utilizing QPLEX and Prioritized Experience Replay (PER), we present methods aimed at improving learning efficiency. Validation through the SMACv2 simulator reveals that the proposed approach achieves faster learning convergence and higher mission success rates compared to existing MARL algorithms.
KW - Multi-agent reinforcemet learning;swarm drones;QPLEX;PER;SMAC
DO - 10.9708/jksci.2024.29.11.079
ER -
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim and Hyun-Hak Kim. (2024). Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER. Journal of The Korea Society of Computer and Information, 29(11), 79-88.
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim and Hyun-Hak Kim. 2024, "Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER", Journal of The Korea Society of Computer and Information, vol.29, no.11 pp.79-88. Available from: doi:10.9708/jksci.2024.29.11.079
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim, Hyun-Hak Kim "Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER" Journal of The Korea Society of Computer and Information 29.11 pp.79-88 (2024) : 79.
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim, Hyun-Hak Kim. Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER. 2024; 29(11), 79-88. Available from: doi:10.9708/jksci.2024.29.11.079
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim and Hyun-Hak Kim. "Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER" Journal of The Korea Society of Computer and Information 29, no.11 (2024) : 79-88.doi: 10.9708/jksci.2024.29.11.079
Jin-Ho Ahn; Byung-In Choi; Tae-Young Lee; Hae-Moon Kim; Hyun-Hak Kim. Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER. Journal of The Korea Society of Computer and Information, 29(11), 79-88. doi: 10.9708/jksci.2024.29.11.079
Jin-Ho Ahn; Byung-In Choi; Tae-Young Lee; Hae-Moon Kim; Hyun-Hak Kim. Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER. Journal of The Korea Society of Computer and Information. 2024; 29(11) 79-88. doi: 10.9708/jksci.2024.29.11.079
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim, Hyun-Hak Kim. Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER. 2024; 29(11), 79-88. Available from: doi:10.9708/jksci.2024.29.11.079
Jin-Ho Ahn, Byung-In Choi, Tae-Young Lee, Hae-Moon Kim and Hyun-Hak Kim. "Multi-Agent Reinforcement Learning based Swarm Drone using QPLEX and PER" Journal of The Korea Society of Computer and Information 29, no.11 (2024) : 79-88.doi: 10.9708/jksci.2024.29.11.079
