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Hui Wang,
a Chinese computer scientist and Ph.D. candidate at the Leiden Centre of Data Science ^[2], Leiden University. He works on a CSC grant (China Scholarship Council) on games and transportation systems, focusing on Q-Learning and Monte-Carlo Tree Search applied to General Game Playing.

Selected Publications

^[3]

• Hui Wang, Michael Emmerich, Aske Plaat (2018). Monte Carlo Q-learning for General Game Playing. arXiv:1802.05944 » MCTS, Reinforcement Learning
• Hui Wang, Michael Emmerich, Aske Plaat (2018). Assessing the Potential of Classical Q-learning in General Game Playing. arXiv:1810.06078 ^[4]

External Links

• Hui Wang - Leiden University
• Hui Wang wins Best Paper Award at BNAIC 2018, Leiden University, November 20, 2018

References

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