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Researchers have devised a new deep reinforcement learning architecture that can combine pre-learned skills to create new sets of skills on the fly, which was tested in simulations and a four-legged robot. Learn more in Science Robotics: https://fcld.ly/5o3arky | Science
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In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments. Developed by robotics researchers at the University of Michigan, it could cut learning time for new materials and environments down to a few hours rather than a week or two. You can find the full article here: https://www.wevolver.com/article/fake-data-helps-robots-learn-the-ropes-faster #robotics
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