SentientOrange/Rubiks-Cube
Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube
This program helps artificial intelligence and machine learning students or enthusiasts learn about reinforcement learning by solving a Rubik's Cube. You input the scrambled state of a Rubik's Cube, and the program learns how to output the sequence of moves needed to solve it. This is designed for those studying AI concepts.
No commits in the last 6 months.
Use this if you are an AI student or researcher looking for a practical example of Q-learning applied to a complex problem with a large state space.
Not ideal if you just want to solve a physical Rubik's Cube or are looking for a general-purpose AI library.
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15
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1
Language
Python
License
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Category
Last pushed
Jun 22, 2021
Commits (30d)
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