A machine has taught itself to solve a Rubik’s Cube without human assistance, according to a group of UC Irvine researchers. Two algorithms developed by the researchers, collectively called Deep Cube, typically can solve the 3-D combination puzzle within 30 moves, which is less than or equal to systems that use human knowledge, according to the team’s research paper.

Less than 5.8% of the world’s population can solve the Rubik’s Cube, according to the Rubik’s website. “At first I didn’t think it was possible to solve the Rubik’s Cube without any human data or knowledge,” said Stephen McAleer, a UCI doctoral student.

The trick, he said, is to present an advanced computer with a solved Rubik’s Cube and let it unscramble the puzzle bit by bit. The researchers call this algorithm “autodidactic iteration,” in which the machine works backward to teach itself the moves that solve the puzzle.

In the second algorithm, the trained neural networks use the moves learned in the first algorithm to solve the cube. The machine “plays” with the puzzle and learns how to solve it from any starting point, McAleer said.

McAleer and his team, which includes one professor and two other students, submitted their research in May for consideration for publication at the Conference on Neural Information Processing Systems later this year. If the group used a reinforcement learning approach, in which the machine was rewarded for every step it took that brought it closer to solving the puzzle, it would be “impossible for neural networks to know when it’s in a good or bad state,” McAleer said. Read more from latimes.com…

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