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Title: :  Multi-Agent Reinforcement Learning for Coordinated Drone Swarms
PaperId: :  26396
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26396
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Deepak GowdaMahajana's College

Abstract

Computer Science
MARL, Learning, Drone
Drones are increasingly being deployed in critical operations such as search and rescue, environmental monitoring, agricultural surveying, and military reconnaissance. The effectiveness of these applications is significantly enhanced when drones operate as a coordinated swarm. Multi-Agent Reinforcement Learning (MARL) has emerged as a promising approach to enabling decentralized coordination among autonomous drones. Unlike traditional control methods, MARL allows agents to learn collaborative behaviors through trial-and-error interactions with their environment and each other. This paper explores the foundational principles of MARL as applied to drone swarms, including state representation, reward design, and decentralized policy learning. It examines use cases in dynamic target tracking, area coverage, and cooperative transport. Case studies from research labs and field deployments highlight the practical successes and limitations of MARL-based drone coordination. The paper further discusses ethical and safety concerns related to autonomy, privacy, and control. Finally, it addresses challenges such as partial observability, scalability, and simulation-to-reality transfer, and outlines future innovations in hierarchical learning, communication protocols, and real-time adaptive systems. Multi-agent reinforcement learning is poised to redefine the frontier of aerial robotics by enabling intelligent, flexible, and cooperative swarm behaviors in complex environments.

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IJARIIE Deepak Gowda. "Multi-Agent Reinforcement Learning for Coordinated Drone Swarms" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 3218-3223
MLA Deepak Gowda. "Multi-Agent Reinforcement Learning for Coordinated Drone Swarms." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 3218-3223.
APA Deepak Gowda. (2025). Multi-Agent Reinforcement Learning for Coordinated Drone Swarms. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 3218-3223.
Chicago Deepak Gowda. "Multi-Agent Reinforcement Learning for Coordinated Drone Swarms." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 3218-3223.
Oxford Deepak Gowda. 'Multi-Agent Reinforcement Learning for Coordinated Drone Swarms', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 3218-3223. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Multi_Agent_Reinforcement_Learning_for_Coordinated_Drone_Swarms_ijariie26396.pdf (Accessed : ).
Harvard Deepak Gowda. (2025) 'Multi-Agent Reinforcement Learning for Coordinated Drone Swarms', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 3218-3223IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Multi_Agent_Reinforcement_Learning_for_Coordinated_Drone_Swarms_ijariie26396.pdf (Accessed : )
IEEE Deepak Gowda, "Multi-Agent Reinforcement Learning for Coordinated Drone Swarms," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 3218-3223, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Multi_Agent_Reinforcement_Learning_for_Coordinated_Drone_Swarms_ijariie26396.pdf [Accessed : ].
Turabian Deepak Gowda. "Multi-Agent Reinforcement Learning for Coordinated Drone Swarms." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Deepak Gowda. Multi-Agent Reinforcement Learning for Coordinated Drone Swarms. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 3218-3223. Available from: https://ijariie.com/AdminUploadPdf/Multi_Agent_Reinforcement_Learning_for_Coordinated_Drone_Swarms_ijariie26396.pdf
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