  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.
