Simulated Dackflip (IMAGE)
Caption
UC Berkeley computer scientists developed an algorithm that uses reinforcement learning to generate realistic simulations of human and animal motion, such as this real-time backflip. The same algorithm works for 25 acrobatic and dance tricks, with one month of learning required per skill.
Credit
Jason Peng, UC Berkeley
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