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Robot Beats Humans at Curling, Thanks to Deep Learning

By UPI

September 25, 2020

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Researchers at South Korea's Korea University, and Germany's Berlin Institute of Technology and Max Planck Institute for Informatics, developed a deep learning algorithm that enabled a curling robot to beat human players.

The team trained the robot, Curly, to evaluate and adapt to uncontrollable environmental conditions using a deep reinforcement learning system to help it compensate for uncertainties and take corrective actions.

The scientists integrated this system with a previously developed strategy planning model, with the result that Curly outperformed expert human curlers.

Korea University’s Seong-Whan Lee said, "The game of curling can be considered a good testbed for studying the interaction between artificial intelligence systems and the real world.”

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