Abstract
Conflict-Based Search (CBS) is a recently introduced algorithm for Multi-Agent Path Finding (MAPF) whose runtime is exponential in the number of conflicts found between the agents' paths. We present an improved version of CBS that bypasses conflicts thereby reducing the CBS search tree. Experimental results show that this improvement reduces the runtime by an order of magnitude in many cases.
| Original language | English |
|---|---|
| Title of host publication | ICAPS 2015 - Proceedings of the 25th International Conference on Automated Planning and Scheduling |
| Editors | Ronen Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein |
| Publisher | Association for the Advancement of Artificial Intelligence |
| Pages | 47-51 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781577357315 |
| DOIs | |
| State | Published - 2015 |
| Event | 25th International Conference on Automated Planning and Scheduling, ICAPS 2015 - Jerusalem, Israel Duration: 7 Jun 2015 → 11 Jun 2015 |
Publication series
| Name | Proceedings International Conference on Automated Planning and Scheduling, ICAPS |
|---|---|
| Volume | 2015-January |
| ISSN (Print) | 2334-0835 |
| ISSN (Electronic) | 2334-0843 |
Conference
| Conference | 25th International Conference on Automated Planning and Scheduling, ICAPS 2015 |
|---|---|
| Country/Territory | Israel |
| City | Jerusalem |
| Period | 7/06/15 → 11/06/15 |
Bibliographical note
Publisher Copyright:Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.