Abstract
Conflict-Based Search (CBS) and its enhancements are among the strongest algorithms for Multi-Agent Path Finding. Recent work introduced an admissible heuristic to guide the high-level search of CBS. In this work, we prove the limitation of this heuristic, as it is based on cardinal conflicts only. We then introduce two new admissible heuristics by reasoning about the pairwise dependencies between agents. Empirically, CBS with either new heuristic significantly improves the success rate over CBS with the recent heuristic and reduces the number of expanded nodes and runtime by up to a factor of 50.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 |
| Editors | Sarit Kraus |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 442-449 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780999241141 |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 - Macao, China Duration: 10 Aug 2019 → 16 Aug 2019 |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Volume | 2019-August |
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 |
|---|---|
| Country/Territory | China |
| City | Macao |
| Period | 10/08/19 → 16/08/19 |
Bibliographical note
Publisher Copyright:© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved.