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Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents

Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents

17 June 2025
Lingfeng Li
Yunlong Lu
Yongyi Wang
Qifan Zheng
Wenxin Li
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents"

10 / 10 papers shown
Title
Honor of Kings Arena: an Environment for Generalization in Competitive
  Reinforcement Learning
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Hua Wei
Jingxiao Chen
Xiyang Ji
Hongyang Qin
Minwen Deng
...
Lin Liu
Lanxiao Huang
Deheng Ye
Qiang Fu
Wei Yang
60
31
0
18 Sep 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
131
383
0
17 Jun 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Yang Guan
Minghuan Liu
Weijun Hong
Weinan Zhang
Fei Fang
Guangjun Zeng
Yue Lin
67
27
0
30 Mar 2022
Building a 3-Player Mahjong AI using Deep Reinforcement Learning
Building a 3-Player Mahjong AI using Deep Reinforcement Learning
Xiangyun Zhao
S. Holden
28
3
0
25 Feb 2022
Suphx: Mastering Mahjong with Deep Reinforcement Learning
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
60
128
0
30 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
124
6,269
0
22 Oct 2019
Toward Interpretable Deep Reinforcement Learning with Linear Model
  U-Trees
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Guiliang Liu
Oliver Schulte
Wang Zhu
Qingcan Li
AI4CE
45
136
0
16 Jul 2018
Programmatically Interpretable Reinforcement Learning
Programmatically Interpretable Reinforcement Learning
Abhinav Verma
V. Murali
Rishabh Singh
Pushmeet Kohli
Swarat Chaudhuri
121
355
0
06 Apr 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement
  Learning Algorithm
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
145
1,781
0
05 Dec 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,027
0
16 Feb 2016
1