"Press Space to Fire": Automatic Video Game Tutorial Generation
  We propose the problem of tutorial generation for games, i.e. to generate
tutorials which can teach players to play games, as an AI problem. This problem
can be approached in several ways, including generating natural language
descriptions of game rules, generating instructive game levels, and generating
demonstrations of how to play a game using agents that play in a human-like
manner. We further argue that the General Video Game AI framework provides a
useful testbed for addressing this problem.
