M2MTR: Reposition Idle Taxis in the Many-to-Many Manner with Multi-agent Reinforcement Learning

Hao Yu, Xi Guo, Jie Chen, Xiao Luo. M2MTR: Reposition Idle Taxis in the Many-to-Many Manner with Multi-agent Reinforcement Learning. In Xiaochun Yang 0001, Heru Suhartanto, Guoren Wang, Bin Wang 0015, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui, editors, Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V. Volume 14180 of Lecture Notes in Computer Science, pages 569-583, Springer, 2023. [doi]

@inproceedings{YuGCL23,
  title = {M2MTR: Reposition Idle Taxis in the Many-to-Many Manner with Multi-agent Reinforcement Learning},
  author = {Hao Yu and Xi Guo and Jie Chen and Xiao Luo},
  year = {2023},
  doi = {10.1007/978-3-031-46677-9_39},
  url = {https://doi.org/10.1007/978-3-031-46677-9_39},
  researchr = {https://researchr.org/publication/YuGCL23},
  cites = {0},
  citedby = {0},
  pages = {569-583},
  booktitle = {Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V},
  editor = {Xiaochun Yang 0001 and Heru Suhartanto and Guoren Wang and Bin Wang 0015 and Jing Jiang and Bing Li and Huaijie Zhu and Ningning Cui},
  volume = {14180},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-46677-9},
}