Scientists have developed a new algorithm that can make computer animation more agile, acrobatic and realistic. The researchers at University of California, Berkeley in the US used deep reinforcement learning to recreate natural motions, even for acrobatic feats like break dancing and martial arts. "This is actually a pretty big leap from what has been done with deep learning and animation," said UC Berkeley graduate student Xue Bin Peng. "We have a single algorithm that can learn a variety of different skills, and produce motions that rival if not surpass the state of the art in animation with handcrafted controllers," said Peng. The computer practiced 24/7, going through millions of trials to learn how to realistically simulate each skill.

Source: dna April 11, 2018 09:39 UTC