论文标题
学会在3D视频游戏中识别知觉错误
Learning to Identify Perceptual Bugs in 3D Video Games
论文作者
论文摘要
视频游戏中的自动错误检测（ABD）由两个不同但互补的问题组成：自动化游戏探索和错误标识。自动化游戏探索受到了最近的关注，这受到诸如增强学习等领域的发展。识别玩家体验中存在的错误的互补问题在很大程度上取决于规则的手动规范。尽管人们广泛认识到，这种方法无法确定许多感兴趣的错误，但在这个方向上几乎没有取得进展。在这项工作中，我们表明，通过仅使用播放器所见的渲染游戏屏幕，可以使用基于学习的方法来识别一系列感知错误。为了支持我们的工作，我们已经开发了错误的世界（WOB）一个开放平台，用于在3D游戏环境中测试ABD方法。
Automated Bug Detection (ABD) in video games is composed of two distinct but complementary problems: automated game exploration and bug identification. Automated game exploration has received much recent attention, spurred on by developments in fields such as reinforcement learning. The complementary problem of identifying the bugs present in a player's experience has for the most part relied on the manual specification of rules. Although it is widely recognised that many bugs of interest cannot be identified with such methods, little progress has been made in this direction. In this work we show that it is possible to identify a range of perceptual bugs using learning-based methods by making use of only the rendered game screen as seen by the player. To support our work, we have developed World of Bugs (WOB) an open platform for testing ABD methods in 3D game environments.
