Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory

Mitsuaki Obara, Takehiro Kashiyama, Yoshihide Sekimoto. Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory. In Naoki Abe, Huan Liu 0001, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu 0001, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz, editors, IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018. pages 4525-4533, IEEE, 2018. [doi]

@inproceedings{ObaraKS18,
  title = {Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory},
  author = {Mitsuaki Obara and Takehiro Kashiyama and Yoshihide Sekimoto},
  year = {2018},
  doi = {10.1109/BigData.2018.8622214},
  url = {https://doi.org/10.1109/BigData.2018.8622214},
  researchr = {https://researchr.org/publication/ObaraKS18},
  cites = {0},
  citedby = {0},
  pages = {4525-4533},
  booktitle = {IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018},
  editor = {Naoki Abe and Huan Liu 0001 and Calton Pu and Xiaohua Hu and Nesreen Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu 0001 and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey Saltz},
  publisher = {IEEE},
  isbn = {978-1-5386-5035-6},
}