Automatic Bug Detection in Games using LSTM Networks
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Abstract (arXiv)
We introduced a new framework to detect perceptual bugs using a Long Short-Term Memory (LSTM) network, which detects bugs in video games as anomalies. The detected buggy frames are then clustered to determine the category of the occurred bug. The framework was evaluated on two First Person Shooter (FPS) games. Results show the effectiveness of the framework.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 18 references that are in the map. First posted on arXiv 13 Dec 2023.
Builds on
5 of 18 references.
References · 5
- 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
- 2022Learning to Identify Perceptual Bugs in 3D Video Gamescited by 5
- 2022World of Bugs: A Platform for Automated Bug Detection in 3D Video Gamescited by 3
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Citing papers per year: 2025: 1.
1 paper.