Watch an AI robot learn how to demolish humans at a marble maze game

Researchers have developed an AI-powered robot they claim can beat the physical marble game Labyrinth faster than humans are capable of. Thomas Bi and Raffaello D’Andrea of ETH Zurich created CyberRunner, which combines model-based reinforcement with the dexterity required to beat a game that requires physical skill, coordination and precision.

For the uninitiated, the aim of the game is to guide a marble through a maze without falling into any holes. The player controls the movement of the ball by …

ai-powered ai robot claim consumer discretionary cyberrunner eth eth zurich faster game humans information technology labyrinth learn reinforcement researchers robot thomas zurich