This is a video demonstration of Microsoft’s Maluuba artificial intelligence program playing Ms. Pac-Man on the Atari 2600, and getting the highest score possible, with 999,990 points. For reference the human high score on the same console is 266,360. That’s quite an improvement. Granted it’s still not as good as I could do, but I’m a L337 gamer and would find a way to score those impossible nine extra points, possibly by trying to choke my brother out with the controller cord (I’m pretty sure that worked with the NES version of Dr. Mario). The man narrating the video mentions that this AI form of complex decision making could be used in corporate settings including “sales funnels and financial models”, although using it for anything besides beating old video games sounds like a waste of time to me.
Keep going for the video, which provides a relatively easy-to-understand description of how the reinforcement learning process work.
Thanks to Clark, who informed me if any artificial intelligence program beats his Jungle Hunt high score he’ll break its little binary fingers off.