Publications

Ziqi Wang, Jiashun Liu and Ling Pan, "Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization," in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (pdf)

Yuchen Li*, Ziqi Wang*, Qingquan Zhang, Bo Yuan and Jialin Liu, "Measuring Diversity of Game Scenarios," IEEE Transactions on Games (ToG), doi: doi: 10.1109/TG.2025.3543135.

Qingquan Zhang, Ziqi Wang, Yuchen Li, Keyuan Zhang, Bo Yuan and Jialin Liu, "Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning," IEEE Transactions on Artificial Intelligence (TAI), doi: 10.1109/TAI.2024.3489534.

Ziqi Wang*, Yuchen Li*, Haocheng Du, Jialin Liu and Georgios N. Yannakakis, "Fun as moderate divergence: Evaluating experience-driven PCG via RL," IEEE Transactions on Games (ToG), doi: 10.1109/TG.2024.3456101.

Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du and Jialin Liu, "Games for artificial intelligence research: A review and perspectives," IEEE Transactions on Artificial Intelligence (TAI), doi: 10.1109/TAI.2024.3410935.

Bo Yuan, Shenhao Gui, Qingquan Zhang, Ziqi Wang, Junyi Wen, Bifei Mao, Jialin Liu and Xin Yao, "FairerML: An extensible platform for analysing, visualising, and mitigating biases in machine learning," IEEE Computational Intelligence Magazine (CIM), vol. 19, no. 2, pp. 129-141, 2024.

Ziqi Wang, Chengpeng Hu, Jialin Liu and Xin Yao, "Negatively correlated ensemble reinforcement learning for online diverse game level generation," in International Conference on Learning Representations (ICLR), 2024. (pdf)

Ziqi Wang, Tianye Shu and Jialin Liu, "State space closure: Revisiting endless online level generation via reinforcement learning, IEEE Transactions on Games (ToG), vol. 16, no. 2, pp. 489-492, 2024. (Letter paper) (pdf)

C. Hu, Ziqi Wang, Tianye Shu, Hao Tong, Julian Togelius, Xin Yao and Jialin Liu, "Reinforcement learning with dual-observation for general video game playing," IEEE Transactions on Games (ToG), vol. 15, no. 2, pp. 202-216, 2023. (pdf)

Ziqi Wang, Jialin Liu and Georgios N. Yannakakis, "The fun facets of Mario: Multifaceted experience-driven PCG via reinforcement learning," in International Conference on Foundation of Digital Games (FDG), ACM, 2022, pp. 1-8. (pdf)

Ziqi Wang and Jialin Liu, "Online game level generation from music," in Conference on Games (CoG), IEEE, 2022, pp. 119-126. (pdf)

Ziqi Wang, Jialin Liu and Georgios N. Yannakakis, "Keiki: Towards realistic Danmaku generation via sequential GANs,” in Conference on Games (CoG), IEEE, 2021, pp. 1-4. (Short paper) (pdf)

Tianye Shu*, Ziqi Wang*, Jialin Liu and Xin Yao, "A novel CNet-assisted evolutionary level repairer and its applications to Super Mario Bros," in Congress on Evolutionary Computation (CEC), IEEE, 2020, pp. 1-10. (pdf)