12 citations · 19 across the 8 of their papers we have counts for
8 papers
Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning
Qingquan Zhang, Ziqi Wang, Yuchen Li +3
In recent years, the generation of diverse game levels has gained increasing interest, contributing to a richer and more engaging gaming experience. A number of level diversity met…
Measuring Diversity of Game Scenarios
Yuchen Li, Ziqi Wang, Qingquan Zhang +2
This survey comprehensively reviews the multi-dimensionality of game scenario diversity, spotlighting the innovative use of procedural content generation and other fields as corner…
Games for Artificial Intelligence Research: A Review and Perspectives
Chengpeng Hu, Yunlong Zhao, Ziqi Wang +2
Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision ma…
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning
Ziqi Wang, Tianye Shu, Jialin Liu
In this paper, we revisit endless online level generation with the recently proposed experience-driven procedural content generation via reinforcement learning (EDRL) framework. In…
Online Game Level Generation from Music
Ziqi Wang, Jialin Liu
Game consists of multiple types of content, while the harmony of different content types play an essential role in game design. However, most works on procedural content generation…
Keiki: Towards Realistic Danmaku Generation via Sequential GANs
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
Search-based procedural content generation methods have recently been introduced for the autonomous creation of bullet hell games. Search-based methods, however, can hardly model p…
Reinforcement Learning with Dual-Observation for General Video Game Playing
Chengpeng Hu, Ziqi Wang, Tianye Shu +4
Reinforcement learning algorithms have performed well in playing challenging board and video games. More and more studies focus on improving the generalisation ability of reinforce…
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros
Tianye Shu, Ziqi Wang, Jialin Liu +1
Applying latent variable evolution to game level design has become more and more popular as little human expert knowledge is required. However, defective levels with illegal patter…