mlsanityData to 14 Oct 2026

Dynamic one-time delivery of critical data by small and sparse UAV swarms: a model problem for MARL scaling studies

arXiv 2512.09682 ↗First posted 10 Dec 2025eess.SY cs.AI cs.GTcited by 0

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Abstract (arXiv)

This work studies the application of Multi-Agent Reinforcement Learning (MARL) to decentralized control of unmanned aerial vehicles to relay a critical data package to a known position. For this purpose, a family of deterministic games is introduced, designed for MARL scaling studies. A robust baseline policy is proposed which restricts agent motion and applies Dijkstra's shortest path algorithm. Computational experiment results show that two off-the-shelf MARL algorithms perform competitively with the baseline for a small number of agents, but face scalability issues as the number of agents increases. Source code and animations are available online at https://github.com/mikapersson/Information-Relaying.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 10 Dec 2025.

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3 of 12 references.

References · 3

  1. 2017Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environmentscited by 1,558
  2. 2021The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Gamescited by 942
  3. 2020Curriculum Learning for Reinforcement Learning Domains: A Framework and Surveycited by 373

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  1. 2025Multi-Agent Deep Reinforcement Learning for Collaborative UAV Relay Networks under Jamming Atatcks
  2. 2025Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention Mechanisms
  3. 2024Distributed Autonomous Swarm Formation for Dynamic Network Bridging
  4. 2026Predictive Lightweight MARL for Resilient Coverage in Sparse-Signaling Aerial Networks ↗
  5. 2025Integrated Communication and Control for Energy-Efficient UAV Swarms: A Multi-Agent Reinforcement Learning Approach
  6. 2025Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
  7. 2025A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain Knowledge
  8. 2026Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment