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 | 11 | 2020 |
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 | 8 | 2022 |
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 | 7 | 2022 |
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 | 6* | 2024 |
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 | 4 | 2024 |
State space closure: Revisiting endless online level generation via reinforcement learning Z Wang, T Shu, J Liu IEEE Transactions on Games, 2023 | 3 | 2023 |
Online Game Level Generation from Music Z Wang, J Liu Conference on Games, 2022 | 3 | 2022 |
Keiki: Towards realistic danmaku generation via sequential GANs Z Wang, J Liu, GN Yannakakis 2021 IEEE Conference on Games (CoG), 01-04, 2021 | 3 | 2021 |
Measuring diversity of game scenarios Y Li, Z Wang, Q Zhang, J Liu arXiv preprint arXiv:2404.15192, 2024 | 2 | 2024 |
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 | 1 | 2024 |
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 | | 2024 |