World of Bugs: A Platform for Automated Bug Detection in 3D Video Games
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Abstract (arXiv)
We present World of Bugs (WOB), an open platform that aims to support Automated Bug Detection (ABD) research in video games. We discuss some open problems in ABD and how they relate to the platform's design, arguing that learning-based solutions are required if further progress is to be made. The platform's key feature is a growing collection of common video game bugs that may be used for training and evaluating ABD approaches.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 14 references that are in the map. First posted on arXiv 21 Jun 2022.
Builds on
5 of 14 references.
References · 5
- 2018Unity: A General Platform for Intelligent Agentscited by 232
- 2021Augmenting Automated Game Testing with Deep Reinforcement Learningcited by 38
- 2021Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agentscited by 28
- 2019Automated Video Game Testing Using Synthetic and Human-Like Agentscited by 22
- 2020Navigation and Exploration in 3D-Game Automated Play Testingcited by 4
Built on by
Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 1.
3 papers.