Difference between revisions of "Hui Wang"
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Latest revision as of 12:11, 6 March 2019
Hui Wang[1]
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
- 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
