A phased game algorithm combining deep reinforcement learning and UCT for Tibetan Jiu chess

Xiali Li, Yandong Chen, Yanyin Zhang, Bo Liu, Licheng Wu. A phased game algorithm combining deep reinforcement learning and UCT for Tibetan Jiu chess. In Hossain Shahriar, Yuuichi Teranishi, Alfredo Cuzzocrea, Moushumi Sharmin, Dave Towey, A. K. M. Jahangir Alam Majumder, Hiroki Kashiwazaki, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed, editors, 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023, Torino, Italy, June 26-30, 2023. pages 390-395, IEEE, 2023. [doi]

@inproceedings{LiCZLW23,
  title = {A phased game algorithm combining deep reinforcement learning and UCT for Tibetan Jiu chess},
  author = {Xiali Li and Yandong Chen and Yanyin Zhang and Bo Liu and Licheng Wu},
  year = {2023},
  doi = {10.1109/COMPSAC57700.2023.00059},
  url = {https://doi.org/10.1109/COMPSAC57700.2023.00059},
  researchr = {https://researchr.org/publication/LiCZLW23},
  cites = {0},
  citedby = {0},
  pages = {390-395},
  booktitle = {47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023, Torino, Italy, June 26-30, 2023},
  editor = {Hossain Shahriar and Yuuichi Teranishi and Alfredo Cuzzocrea and Moushumi Sharmin and Dave Towey and A. K. M. Jahangir Alam Majumder and Hiroki Kashiwazaki and Ji-Jiang Yang and Michiharu Takemoto and Nazmus Sakib and Ryohei Banno and Sheikh Iqbal Ahamed},
  publisher = {IEEE},
  isbn = {979-8-3503-2697-0},
}