a Chinese computer scientist and Ph.D. candidate at the Leiden Centre of Data Science , 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.
- 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 
- Hui Wang - Leiden University
- Hui Wang wins Best Paper Award at BNAIC 2018, Leiden University, November 20, 2018