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

June 10, 2019 Β· Declared Dead Β· πŸ› 2019 IEEE Conference on Games (CoG)

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Authors Raluca D. Gaina, Matthew Stephenson arXiv ID 1906.04027 Category cs.AI: Artificial Intelligence Cross-listed cs.LG, cs.SD, eess.AS Citations 11 Venue 2019 IEEE Conference on Games (CoG) Last Checked 4 months ago
Abstract
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.
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