A deep learning technique to solve Rubik's cube and other problems step-by-step

Colin G. Johnson, an associate professor at the University of Nottingham, recently developed a deep-learning technique that can learn a so-called "fitness function" from a set of sample solutions to a problem. This technique, presented in a paper published in Wiley's Expert Systems journal, was initially trained to solve the Rubik's cube, the popular 3-D combination puzzle invented by Hungarian sculptor Ernő Rubik.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3aUA3gT
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