From Rutgers university comes a learning algorithm that they have applied to playing the Atari 2600 game “Pitfall!”.
An example video is on YouTube.
One of the research papers is apparently here (although the site isn’t being very responsive at the moment).
I’ll get around to posting on machine learning for Pac-Man/Ms. Pac-Man at some point as well.
(Spotted on Kotaku and GameSetWatch.)
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AI, games, video games | Tagged: AI, Atari 2600, games, machine learning, Pitfall, video games | 
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Posted by Karl W. Reinsch
Nice to see some recognition of the 25th birthday of Tetris:
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Posted by Karl W. Reinsch
We’ve all seen the findings showing that Tetris has effects upon cerebral glucose metabolic rates (GMRs). Well, the game is back in the news with more brain research…
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Posted by Karl W. Reinsch
[Very busy at work right now, so posts will taper off until I get to the holiday at the end of the month. That said, I do have some 20+ posts drafted. Rest assured, more content is on the way.]
Being a member of the IEEE, I regularly browse the latest issue of IEEE Spectrum. The most recent issue (December 2008) includes an article entitled “Bots Get Smart” by Jonathan Schaeffer, Vadim Bulitko, and Michael Buro. The main topic of the article is the improving of game AI in order to provide better experiences for players.
One of the parts that stood out to me was this paragraph:
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Posted by Karl W. Reinsch
