Incremental Conflict-Based Search for Multi-agent Path Finding in Dynamic Environment
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63223-5_26
Reference26 articles.
1. Atiq, B., Patoglu, V., Erdem, E.: Dynamic multi-agent path finding based on conflict resolution using answer set programming. In: Electronic Proceedings in Theoretical Computer Science, vol. 325, 223–229 (2020). https://doi.org/10.4204/EPTCS.325.27
2. Botea, A., Surynek, P.: Multi-agent path finding on strongly biconnected digraphs. In: Proceedings of the AAAI Conference on Artificial Intelligence 29 (2015). https://doi.org/10.1609/aaai.v29i1.9430
3. Boyarski, E., et al.: Iterative-deepening conflict-based search, pp. 4056–4062 (2020). https://doi.org/10.24963/ijcai.2020/561
4. Boyarski, E., et al.: ICBS: the improved conflict-based search algorithm for multi-agent pathfinding. In: Proceedings of the International Symposium on Combinatorial Search, vol. 6, 223–225 (2021). https://doi.org/10.1609/socs.v6i1.18343
5. Boyrasky, E., Felner, A., Sharon, G., Stern, R.: Don’t split, try to work it out: bypassing conflicts in multi-agent pathfinding. In: Proceedings of the International Conference on Automated Planning and Scheduling 25, 47–51 (2015). https://doi.org/10.1609/icaps.v25i1.13725
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