Copying human behavior has obvious value for making robots that can move in sophisticated ways. But mimicking humans is nowhere near possible with current robotics, which struggle to achieve even basic movements. New research by artificial intelligence scientists at the University of California at Berkeley may point the way to more effective mimicry. Researchers were able to get a computer-simulated humanoid figure to ape human movements, from back-flips to "Gangnam Style" dance moves, just by feeding the computer YouTube video clips. The researchers trained a "deep" neural network, using what's known as reinforcement learning, where the humanoid figure in the computer program is rewarded as its limbs increasingly approximate the motion of a human in a video.