Scaling Swarm Coordination with GNNs—How Far Can We Go?
The scalability of coordination policies is a critical challenge in swarm robotics, where agent numbers may vary substantially between deployment scenarios. Reinforcement learning (RL) offers a promising avenue for learning decentralized policies from local interactions, yet a fundamental question r...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-11-01
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| シリーズ: | AI |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2673-2688/6/11/282 |
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