A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems

Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang 0001, Zhaopeng Meng. A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 23609-23620, 2021. [doi]

@inproceedings{MaHHLLTYLTM21,
  title = {A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems},
  author = {Yi Ma and Xiaotian Hao and Jianye Hao and Jiawen Lu and Xing Liu and Xialiang Tong and Mingxuan Yuan and Zhigang Li and Jie Tang 0001 and Zhaopeng Meng},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/c6a01432c8138d46ba39957a8250e027-Abstract.html},
  researchr = {https://researchr.org/publication/MaHHLLTYLTM21},
  cites = {0},
  citedby = {0},
  pages = {23609-23620},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}