Researchers at Google's DeepMind subsidiary in England have developed an artificial agent they call a "deep Q-network" that learned to play 49 classic Atari 2600 arcade games by just diving in. The DQN algorithm performed at more than 75 percent of the level of a professional player in more than half the games, and came up with far-sighted strategies that let it achieve the maximum attainable scores in certain games, such as Breakout. IT outperformed previous machine learning methods in 43 of the games.
from TechNewsWorld http://ift.tt/1EwYEle
from TechNewsWorld http://ift.tt/1EwYEle
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