On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs
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Abstract (arXiv)
The determination of the computational complexity of multi-agent pathfinding on directed graphs has been an open problem for many years. For undirected graphs, solvability can be decided in polynomial time, as has been shown already in the eighties. Further, recently it has been shown that a special case on directed graphs is solvable in polynomial time. In this paper, we show that the problem is NP-hard in the general case. In addition, some upper bounds are proven.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Nov 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1; 2025: 2; 2026: 1.
7 papers.
- 2021Pairwise Symmetry Reasoning for Multi-Agent Path Finding Searchcited by 21
- 2022The Small Solution Hypothesis for MAPF on Strongly Connected Directed Graphs Is Truecited by 1
- 2022Multi-Agent Path Finding via Tree LSTMcited by 1
- 2026Efficient Constraint Generation for Stochastic Shortest Path Problemscited by 1
- 2024Efficient Constraint Generation for Stochastic Shortest Path Problemscited by 0
- 2025Multi-Agent Path Finding For Large Agents Is Intractablecited by 0
- 2025Budget Allocation Policies for Real-Time Multi-Agent Path Findingcited by 0
- 2026Efficient Constraint Generation for Stochastic Shortest Path Problems2 Apr 2026
- 2025Budget Allocation Policies for Real-Time Multi-Agent Path Finding22 Jul 2025
- 2025Multi-Agent Path Finding For Large Agents Is Intractable15 May 2025
- 2024Efficient Constraint Generation for Stochastic Shortest Path Problems26 Jan 2024
- 2022Multi-Agent Path Finding via Tree LSTM24 Oct 2022
- 2022The Small Solution Hypothesis for MAPF on Strongly Connected Directed Graphs Is True10 Oct 2022
- 2021Pairwise Symmetry Reasoning for Multi-Agent Path Finding Search12 Mar 2021