Goal-Branching LaCAM: Temporary Goals as Search Branches in Dense Multi-Agent Pathfinding
arXiv:2611.07528v1 Announce Type: new Abstract: LaCAM is a search-based solver for multi-agent pathfinding (MAPF) that runs a depth-first search over joint configurations, using PIBT to generate successors and lazily adding single-agent constraints to explore alternatives.…
AI Summary & Key Takeaways
- arXiv:2611.07528v1 Announce Type: new Abstract: LaCAM is a search-based solver for multi-agent pathfinding (MAPF) that runs a depth-first search over joint configurations, using PIBT to generate successors and lazily adding single-agent constraints to explore alternatives.…
Goal-Branching LaCAM: Temporary Goals as Search Branches in Dense Multi-Agent Pathfinding
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