SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition

Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang. SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. In Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao, editors, Distributed Artificial Intelligence - Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings. Volume 13170 of Lecture Notes in Computer Science, pages 38-51, Springer, 2021. [doi]

@inproceedings{MaoWHMLWHLT21,
  title = {SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition},
  author = {Hangyu Mao and Chao Wang and Xiaotian Hao and Yihuan Mao and Yiming Lu and Chengjie Wu and Jianye Hao and Dong Li and Pingzhong Tang},
  year = {2021},
  doi = {10.1007/978-3-030-94662-3_3},
  url = {https://doi.org/10.1007/978-3-030-94662-3_3},
  researchr = {https://researchr.org/publication/MaoWHMLWHLT21},
  cites = {0},
  citedby = {0},
  pages = {38-51},
  booktitle = {Distributed Artificial Intelligence - Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings},
  editor = {Jie Chen and Jérôme Lang and Christopher Amato and Dengji Zhao},
  volume = {13170},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-94662-3},
}