arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1906.04027cs.AIcs.LGcs.SDeess.AS
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“你听到了吗?“从音频提示学习玩视频游戏

"Did You Hear That?" Learning to Play Video Games from Audio Cues

Queen Mary University of London(伦敦玛丽女王大学)

Raluca D. Gaina, Matthew Stephenson

摘要:

游戏AI研究长期以来一直专注于从视觉输入或符号信息中学习玩视频游戏。然而,人类受益于更广泛的传感器,我们利用这些传感器来导航我们周围的世界。特别是,声音和音乐是我们中有多少人感知世界并影响我们做出决定的关键。在本文中,我们提出了初步的实验,玩游戏的代理学习玩视频游戏,完全从音频线索。我们扩展了视频游戏描述语言以允许音频规范,并扩展了通用视频游戏AI框架以提供新的音频游戏和用于学习代理的API以利用音频观察。我们分析了游戏和音频游戏的设计过程,包括简单的Q~学习代理的初步结果,并鼓励在这方面的进一步研究。

英文摘要:

Game-playing AI research has focused for a long time on learning to play video games from visual input or symbolic information. However, humans benefit from a wider array of sensors which we utilise in order to navigate the world around us. In particular, sounds and music are key to how many of us perceive the world and influence the decisions we make. In this paper, we present initial experiments on game-playing agents learning to play video games solely from audio cues. We expand the Video Game Description Language to allow for audio specification, and the General Video Game AI framework to provide new audio games and an API for learning agents to make use of audio observations. We analyse the games and the audio game design process, include initial results with simple Q~Learning agents, and encourage further research in this area.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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