MAPFAST: A Deep Algorithm Selector for Multi-Agent Path Finding Using Shortest Path Embeddings
Published in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021
MAPFAST is a deep learning-based algorithm selector for multi-agent path finding that uses shortest-path embeddings to represent instance structure and predict solver performance.