Ziqi Wang

According to our database, Ziqi Wang authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Games for Artificial Intelligence Research: A Review and Perspectives.

Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du, Jialin Liu

IEEE Trans. Artif. Intell., December, 2024

State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning.

Ziqi Wang, Tianye Shu, Jialin Liu

IEEE Trans. Games, June, 2024

FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes].

Bo Yuan, Shenhao Gui, Qingquan Zhang, Ziqi Wang, Junyi Wen, Bifei Mao, Jialin Liu, Xin Yao

IEEE Comput. Intell. Mag., May, 2024

Measuring Diversity of Game Scenarios.

Yuchen Li, Ziqi Wang, Qingquan Zhang, Jialin Liu

CoRR, 2024

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation.

Ziqi Wang, Chengpeng Hu, Jialin Liu, Xin Yao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reinforcement Learning With Dual-Observation for General Video Game Playing.

Chengpeng Hu, Ziqi Wang, Tianye Shu, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu

IEEE Trans. Games, June, 2023

Game-based Platforms for Artificial Intelligence Research.

Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du, Jialin Liu

CoRR, 2023

2022

The Fun Facets of Mario: Multifaceted Experience-Driven PCG via Reinforcement Learning.

Ziqi Wang, Jialin Liu, Georgios N. Yannakakis

Proceedings of the FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022

Online Game Level Generation from Music.

Ziqi Wang, Jialin Liu

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Keiki: Towards Realistic Danmaku Generation via Sequential GANs.

Ziqi Wang, Jialin Liu, Georgios N. Yannakakis

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Robust Reinforcement Learning for General Video Game Playing.

Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu

CoRR, 2020

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros.

Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2020