Researchers at the University of California Berkeley are investigating how YouTube videos can be used to teach AI about motion. Using a combination of computer vision and reinforcement learning algorithms, the research team has already taught AI systems over YouTube acrobatic moves, such as back flips and cartwheels. By learning from videos, this method removes the need for expensive motion capture hardware. The framework operates by creating a simulated character to mimic the movement seen in the video using embedded reinforcement learning and it is thought that the system could be used to train robots for different environments.
Researchers at the University of California Berkeley are investigating how YouTube videos can be used to teach AI about motion. Using a combination of computer vision and reinforcement learning algorithms, the research team has already taught AI systems over 20 acrobatic moves, such as back flips and cartwheels. By learning from videos, this method removes the need for expensive motion capture hardware. The framework operates by creating a simulated character to mimic the movement seen in the video using embedded reinforcement learning and it is thought that the system could be used to train robots for different environments.