Multi-Agent Path Finding with Prioritized Communication Learning
Wenhao Li,Hongjun Chen,Bo Jin,Wenzhe Tan,Hongyuan Zha,Xiangfeng Wang,Wenhao Li,Hongjun Chen,Bo Jin,Wenzhe Tan,Hongyuan Zha,Xiangfeng Wang
Multi-agent pathfinding (MAPF) has been widely used to solve large-scale real-world problems, e.g., automation warehouses. The learning-based, fully decentralized framework has been introduced to alleviate real-time problems and simultaneously pursue optimal planning policy. However, existing methods might generate significantly more vertex conflicts (or collisions), which lead to a low success ra...
