Towards a Competitive 3-Player Mahjong AI using Deep Reinforcement Learning

Author:

Zhao Xiangyu1,Holden Sean B.1

Affiliation:

1. University of Cambridge,Department of Computer Science and Technology,Cambridge,United Kingdom

Funder

Engineering and Physical Sciences Research Council

Science and Technology Facilities Council

Publisher

IEEE

Reference7 articles.

1. Suphx: Mastering Mahjong with deep reinforcement learning;li;arXiv preprint arXiv 2003 13874,2020

2. Supervised learning of imperfect information data in the game of Mahjong via deep convolutional neural networks;gao;The 23rd Game Programming Workshop of the Information Processing Society of Japan,2018

3. Tenhou.net;tsunoda,0

4. Building a 3-player Mahjong AI using deep reinforcement learning;zhao;arXiv preprint arXiv 2202 12847,2022

5. Variational oracle guiding for reinforcement learning;han;10th International Conference on Learning Representations (ICLR 2022),2022

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An improved deep Q-Network algorithm for the prediction of non-competitive bidding in Bridge Game;Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things;2024-05-24

2. Tjong: A transformer‐based Mahjong AI via hierarchical decision‐making and fan backward;CAAI Transactions on Intelligence Technology;2024-03-21

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