AIBullisharXiv – CS AI · 8h ago6/10
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Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
Researchers have developed LC-MAPF, a machine learning model that enables multi-agent systems to coordinate pathfinding tasks through localized communication between neighboring agents. The approach outperforms existing learning-based solutions while maintaining scalability, addressing a critical challenge in autonomous robotics and logistics applications.