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Ziqi Wang (王子祺)
Ziqi Wang (王子祺)
Southern University of Science and Technology
Verified email at mail.sustech.edu.cn
Title
Cited by
Cited by
Year
A novel cnet-assisted evolutionary level repairer and its applications to Super Mario Bros
T Shu, Z Wang, J Liu, X Yao
2020 IEEE Congress on Evolutionary Computation (CEC), 1-10, 2020
132020
Games for Artificial Intelligence Research: A Review and Perspectives
C Hu, Y Zhao, Z Wang, H Du, J Liu
IEEE Transactions on Artificial Intelligence, 2024
10*2024
The fun facets of Mario: Multifaceted experience-driven PCG via reinforcement learning
Z Wang, J Liu, GN Yannakakis
Proceedings of the 17th International Conference on the Foundations of …, 2022
92022
Reinforcement learning with dual-observation for general video game playing
C Hu, Z Wang, T Shu, H Tong, J Togelius, X Yao, J Liu
IEEE Transactions on Games 15 (2), 202-216, 2022
72022
Negatively correlated ensemble reinforcement learning for online diverse game level generation
Z Wang, C Hu, J Liu, X Yao
The Twelfth International Conference on Learning Representations, 2024
52024
Measuring diversity of game scenarios
Y Li, Z Wang, Q Zhang, B Yuan, X Wang, J Liu
arXiv preprint arXiv:2404.15192, 2024
32024
State space closure: Revisiting endless online level generation via reinforcement learning
Z Wang, T Shu, J Liu
IEEE Transactions on Games, 2023
32023
Online Game Level Generation from Music
Z Wang, J Liu
Conference on Games, 2022
32022
Keiki: Towards realistic danmaku generation via sequential GANs
Z Wang, J Liu, GN Yannakakis
2021 IEEE Conference on Games (CoG), 01-04, 2021
32021
Fun as Moderate Divergence: Evaluating Experience-Driven PCG via RL
Z Wang, Y Li, H Du, J Liu, GN Yannakakis
IEEE Transactions on Games, 2024
12024
FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]
B Yuan, S Gui, Q Zhang, Z Wang, J Wen, B Mao, J Liu, X Yao
IEEE Computational Intelligence Magazine 19 (2), 129-141, 2024
12024
Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning
Q Zhang, Z Wang, Y Li, K Zhang, B Yuan, J Liu
IEEE Transactions on Artificial Intelligence, 2024
2024
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