In a paper titled “Solving the Rubik’s Cube Without Human Knowledge,” computer scientist Stephen McAleer and his team of artificial intelligence researchers discuss a technique called “Autodidactic Iteration” that allows a deep-learning computer to teach itself how to solve a Rubik’s Cube from any scrambled state.
We have already seen how deep-learning computers can teach themselves and excel at games like Chess, Go, and Shogi. We have also seen machines that can “solve” a Rubik’s Cube in the blink of an eye.
