This particular algorithm is fascinating not just because it outperforms all other known neural networks on the given tasks, but because the same algorithm performs well on more than just one game. That is: it isn't restricted to strong performance on just one game, and its input actions can be extended at will (they are theoretically not just limited to the buttons on the Atari console). The algorithm is fairly simple, and the learning curve stabilizes already before 100 training epochs – which is quite impressive for the algorithm.
No wonder why Google is buying DeepMind Technologies, the company behind this feat. It'll be interesting to see what Google does with them, or rather what they end up doing for Google…
/via +Russ Abbott
Neural Net Learns Breakout Then Thrashes Human Gamers
The end is nigh. Humans have lost another key battle in the war against computer domination
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