In a groundbreaking achievement, artificial intelligence (AI) has transcended the bounds of human physical prowess, marking a historic moment where machines outperform their human counterparts in a skill-based game. Conventionally, AI's dominance was observed in cerebral challenges like chess and Go, or virtual scenarios. However, a recent development by researchers at ETH Zurich has propelled AI into the realm of physical skill, a domain traditionally considered exclusive to humans.
The ETH Zurich team introduced an AI robot named CyberRunner, programmed to master the labyrinth maze game. Negotiating this game requires not only spatial reasoning and motor skills as well as good old fashioned practice. Equipped with two motorized hands, a camera for vision, and a computational brain, CyberRunner operates much like a human player.
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Employing advanced model-based reinforcement learning, the robot learns through experience, making decisions and predicting outcomes based on various actions. As CyberRunner maneuvers through the labyrinth, it continually refines its motor skills through algorithmic enhancements.
Impressively, after just 6.06 hours of practice, CyberRunner surpassed the world record set by a human player in 2022. Former record-holder Lars Goran Danielsson's time of 15.41 seconds was outperformed by CyberRunner, completing the maze in an astonishing 14.48 seconds- an improvement of over 6 percent.
During its learning process, CyberRunner displayed human-like behavior by discovering shortcuts and even attempting to cheat. Researchers intervened to ensure ethical play, highlighting an unexpected aspect of AI behavior that mimics innate human traits.
The project leaders, Thomas Bi
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