A Machine Learning Approach That Beats Large Rubik's Cubes

Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal +9

The paper proposes a novel machine learning-based approach to the pathfinding problem on extremely large graphs. This method leverages diffusion distance estimation via a neural ne…