ICBS: Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 740-745.
Abstract
Conflict-Based Search (CBS) and its enhancements, Meta-Agent CBS and bypassing conflicts are amongst the strongest newly introduced algorithms for Multi-Agent Path Finding. This paper introduces two new improvements to CBS and incorporates them into a coherent, improved version of CBS, namely ICBS. Experimental results show that each of these improvements further reduces the runtime over the existing CBS-based approaches. When all improvements are combined, an even larger improvement is achieved, producing state-of-the art results for a number of domains.
@inproceedings{ijcai2015p110,
title = {ICBS: Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding},
author = {Boyarski, Eli and Felner, Ariel and Stern, Roni and Sharon, Guni and Tolpin, David and Betzalel, Oded and Shimony, Solomon Eyal},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {740--745},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/110},
}
TY - CPAPER TI - ICBS: Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding AU - Boyarski, Eli AU - Felner, Ariel AU - Stern, Roni AU - Sharon, Guni AU - Tolpin, David AU - Betzalel, Oded AU - Shimony, Solomon Eyal T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 740 EP - 745 UR - https://ijcai.org/proceedings/2015/110 ER -Copied
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