Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, and Hsiao-Wuen Hon. Suphx: Mastering mahjong with deep reinforcement learning. arXiv preprint arXiv:2003.13590, 2020.
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, and Dongsheng Li. Variational oracle guiding for reinforcement learning. In International Conference on Learning Representations, 2022.
Shingo Tsunoda. Tenhou Manual. https://tenhou.net/man. Retrieved April 22, 2021.
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon. CBAM: Convolutional Block Attention Module. Proceedings of the European conference on computer vision (ECCV), 2018.
Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, and Karim Beguir. Offline reinforcement learning hands-on. arXiv preprint arXiv:2011.14379, 2020.
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, and Thomas Brox. TD or not TD: Analyzing the role of temporal differencing in deep reinforcement learning. arXiv preprint arXiv:1806.01175, 2018.