Is it possible to solve Rubik's cube using DQN?

I'm trying to solve Rubik's cube using deep learning and I came across with DQN, so I decided to give it a try. I developed all the code and started training but I got this results:

Loss goes up and test never get better results. I have tried to change learning rate, epsilon greedy decay, reducing scramble moves to one but it still can't solve it with just one move. That's why I would like to know if it just impossible to do it this way or I could miscalculating some values.

Topic dqn pytorch deep-learning python

Category Data Science

1
answered at

I think yes, you can, since rubric group can be represented as a grid word environment.

See this link from GitHub, they attempted solving using dqn

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