In this section, we provide an overview of existing works aimed at reducing the time cost of MAPF methods. MAPF methods typically involve searching for paths connecting the starting and target ...

Abstract: Dynamic multi-robot systems face the intricate multi-agent pathfinding (MAPF) challenge as a pivotal hurdle. It has been uncovered through recent research that tackling MAPF issues can be ...

This is the code repository for the paper "Graph Attention-Guided Search for Dense Multi-Agent Pathfinding" introducing LaGAT. LaGAT combines a neural policy heuristic, an enhanced MAGAT+ model, with ...

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Inspired by natural phenomena, generations of researchers have been investigating how a swarm of robots can act coherently and purposefully, when individual robots can only sense and communicate with ...

Abstract: We address a challenging multi-agent pathfinding (MAPF) problem for hundreds of agents moving on a 2D roadmap with continuous time. Despite its known potential for producing better solutions ...