A machine learning approach that beats Rubik's cubes

NeurIPSSpotlight2025

Authors: Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev, Vladislav Zamkovoy, Ivan Koltsov, Lyudmila Cheldieva, Arsenii Sychev, Arsenii Lenin, Mark Obozov, Egor Urvanov, Alexey M. Romanov
Venue: NeurIPS 2025
Track: Spotlight

TL;DR

The paper proposes a novel machine learning-based approach to the pathfinding problem on extremely large graphs…

Opening excerpt from the authors’ abstract. source

Read the paper

OpenReview

Topics

graph

← All NeurIPS 2025 Spotlight papers · Browse the whole archive