Supercharged system aims to make robots learn faster than ever

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Deep-reinforcement learning arose from deep learning, a method of using multiple layers of neural networks to efficiently process and organize mountains of raw data (see “10 Breakthrough Technologies 2013: Deep Learning”). Deep learning now underlies many of the best facial recognition, video classification, and text or speech recognition systems from Google, Microsoft, and IBM Watson.Deep-reinforcement learning adds control to the mix, using deep learning’s ability to accurately classify inputs, such as video frames from a game of Breakout or Pong, to work toward a high score. Deep-reinforcement learning systems train themselves automatically by repeating a task over and over again until they reach their goal. “The power of deep reinforcement is that you can discover behaviors that a human would not have guessed or thought to hand code,” says Derik Pridmore, president and chief operating officer of Osaro.

Source: Supercharged system aims to make robots learn faster than ever

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