Researchers affiliated with Google Robotics have successfully managed to get a robot to teach itself without relying on simulation trials. Using deep reinforcement learning , a type of machine learning that borrows from concepts used in psychology, the scientists could avoid hard-programming every walking-related command as well as avoid simulation tests. While the field of self-taught robotic locomotion is still nascent, this work provides sufficient evidence that it works. The team's results were published to arXiv.
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