Computer scientists at Johns Hopkins University used positive reinforcement to show a robot how to teach itself new tasks quickly.
The training technique, often used to change a dog's behavior, helped the robot improve its skills in a matter of days, rather than the month it previously would have taken.
The researchers used a reward system to help the robot learn from its mistakes.
When it came to stacking blocks, the robot quickly determined it would earn high points for correct behaviors and zero points for failing to grasp a block or knocking over a stack.
Said Johns Hopkins' Andrew Hundt, "The robot wants the higher score. It quickly learns the right behavior to get the best reward.”
From Johns Hopkins Hub
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
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