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Google DeepMind's AI Beats Humans At Even More Computer Games
An anonymous reader writes: Google DeepMind's learning algorithm has trumped human performance in an even greater range of games from the Atari 2600. The system's performance in classic games for the 80's games console has improved steadily since it was revealed in April last year (video) and a paper released yesterday shows it besting people in 31 titles.
The Atari 2600 was released in 1977.
Deep mind is a neural network based computer. This isn't a competition to aim a laser at a brightly colored balloon. This is a competition to teach a deep neural network strategy and game mechanics. Highly abstract concepts which are not easily encoded in expert systems.
The real question is, can a computer beat a human at a human game? Chess, yeah. Go, not so much.
Neural nets are rapidly gaining on old fashioned hand coded algorithms. Here is a Go playing NN, that can beat Gnu Go after only a few days of learning. Progress is rapid, and computers will overtake the best humans at Go within a few years.
Computer with sub-millisecond reaction time and ability to perfectly calculate matrices ...
This is NOT about computers being able to play well. It is about computers LEARNING to play. The point of TFA, is that DeepMind was simply given the goal of "winning", and then learned on its own how to play the game and maximize the score.