> Scientists tested Deep Q’s problem-solving abilities on the Atari 2600 gaming platform. Deep-Q learned not only the rules for a variety of games (49 games in total) in a range of different environments, but the behaviors required to maximize scores. It did so with minimal prior knowledge, receiving only visual images (in pixel form) and the game score as inputs.
Sure, the problem space is still fairly limited, but the AI did learn new games without much guidance at all.
With the danger of sounding stupid, isn't that what Deep-Q did?
http://arstechnica.com/science/2015/02/ai-masters-49-atari-2...
> Scientists tested Deep Q’s problem-solving abilities on the Atari 2600 gaming platform. Deep-Q learned not only the rules for a variety of games (49 games in total) in a range of different environments, but the behaviors required to maximize scores. It did so with minimal prior knowledge, receiving only visual images (in pixel form) and the game score as inputs.
Sure, the problem space is still fairly limited, but the AI did learn new games without much guidance at all.