Professor Pierre Baldi, with PhD students Forest Agostinelli and Stephen McAleer, and senior Alexander Shmakov, have developed a deep reinforcement learning approach to solve Rubik’s cube problems, solving typical problems in about 20 moves. The work was published in Nature Machine Intelligence.