. . . . . . . . . . "This paper introduces move sequence problems\u2014 problems where a system can exist in a number of states, including a goal state, with moves between those states. This paper introduces Learned Guidance Functions (LGFs) as a machine learning method to tackle these. An LGF is a function learned by supervised machine learning that predicts how far a particular state is from the goal state. These methods are applied to the challenging problem of unscrambling a Rubik\u2019s Cube."^^ . . . . . . "Solving the Rubik\u2019s Cube with Learned Guidance Functions"^^ . . . . . "2019-01-31" . . . . . .