APA (7th ed.) Citation

Tang, Y., Xiong, X., Xi, J., Li, J., Bıyık, E., & Koenig, S. (2025). RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks (Extended Abstract). Proceedings of the International Symposium on Combinatorial Search, 18, 273-274. https://doi.org/10.1609/socs.v18i1.36015

Chicago Style (17th ed.) Citation

Tang, Yimin, Xiao Xiong, Jingyi Xi, Jiaoyang Li, Erdem Bıyık, and Sven Koenig. "RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks (Extended Abstract)." Proceedings of the International Symposium on Combinatorial Search 18 (2025): 273-274. https://doi.org/10.1609/socs.v18i1.36015.

MLA (9th ed.) Citation

Tang, Yimin, et al. "RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks (Extended Abstract)." Proceedings of the International Symposium on Combinatorial Search, vol. 18, 2025, pp. 273-274, https://doi.org/10.1609/socs.v18i1.36015.