Learning To Play Mario Bros.

Julian Togelius and Sergey Karakovskiy have organized a competition to create an agent (or AI) that plays the video game Super Mario Bros. – or, more accurately, Infinite Mario Bros. a tribute game featuring random level generation.

The advantage of using Infinite Mario Bros. is the random level generation – which can let the agent learn more generalized playing tactics rather than tactics that are tailored to a static set of levels as in Ms. Pac-Man or Pitfall.

I look forward to seeing the results of the competition, and hope to see source code published as well.

Related posts:

  1. Mario Bros. AI Competition Results
  2. A Computer That Plays Pitfall
  3. Opening Moves
  4. Pac-Man, How Does It Work?
  5. Games As A Killer App For AI

This entry was posted on Thursday, August 6th, 2009 at 10:27 pm and is filed under AI, games, video games. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

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