Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong

16 April 2019

Papers citing "Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong"

6 / 6 papers shown

Title
Elevating Styled Mahjong Agents with Learning from Demonstration Lingfeng Li Yunlong Lu Yongyi Wang Wenxin Li LLMAG 7 0 0 20 Jun 2025
A Survey on Self-play Methods in Reinforcement Learning Chao Yu Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 168 9 0 02 Aug 2024
Building a 3-Player Mahjong AI using Deep Reinforcement Learning Xiangyun Zhao S. Holden 40 4 0 25 Feb 2022
A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand Xueqing Yan Yongming Li Sanjiang Li 24 0 0 15 Aug 2021
Suphx: Mastering Mahjong with Deep Reinforcement Learning Junjie Li Sotetsu Koyamada Qiwei Ye Guoqing Liu Chao Wang Ruihan Yang Li Zhao Tao Qin Tie-Yan Liu H. Hon 82 130 0 30 Mar 2020
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 261 913 0 06 Jan 2017