- Demis Hassabis, the company’s founder said: “This is the first significant rung of the ladder towards proving a general learning system can work. It can work on a challenging task that even humans find difficult. It’s the very first baby step towards that grander goal ... but an important one.”
- The DeepMind agent is simply given a raw input, in this case the pixels making up the display on Atari games, and provided with a running score. When the agent begins to play, it simply watches the frames of the game and makes random button presses to see what happens.
- The agent uses a method called “deep learning” to turn the basic visual input into meaningful concepts, mirroring the way the human brain takes raw sensory information and transforms it into a rich understanding of the world. The agent is programmed to work out what is meaningful through “reinforcement learning”, the basic notion that scoring points is good and losing them is bad.
Google develops computer program capable of learning tasks independently
2. 26. 15 by Alex Klokus