K∗ and Partial Order Reduction for Top-quality Planning
Michael Katz, Junkyu Lee
SoCS 2023
Much of the literature on suboptimal, polynomial-time algorithms for multi-agent path finding focuses on undirected graphs, where motion is permitted in both directions along a graph edge. Despite this, traveling on directed graphs is relevant in navigation domains, such as path finding in games, and asymmetric communication networks. We consider multi-agent path finding on strongly biconnected directed graphs. We show that all instances with at least two unoccupied positions have a solution, except for a particular, degenerate subclass where the graph has a cyclic shape. We present diBOX, an algorithm for multi-agent path finding on strongly biconnected directed graphs. diBOX runs in polynomial time, computes suboptimal solutions and is complete for instances on strongly biconnected digraphs with at least two unoccupied positions. We theoretically analyze properties of the algorithm and properties of strongly biconnected directed graphs that are relevant to our approach. We perform a detailed empirical analysis of diBOX, showing a good scalability. To our knowledge, our work is the first study of multi-agent path finding focused on directed graphs.
Michael Katz, Junkyu Lee
SoCS 2023
Michael Katz, Junkyu Lee, et al.
SoCS 2024
Carmel Domshlak, Jörg Hoffmann, et al.
Artificial Intelligence
Junkyu Lee, Michael Katz, et al.
NeurIPS 2023