The paper presents a PPO policy trained with rewards from a learned cost model, claiming 99.4% success on the 2x2x2 Rubik's Cube without search or solved-state sampling, but with weak evidential support.
Solving the rubik’s cube with deep reinforcement learning and search
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Solving Rubik's Cube Without Tricky Sampling
The paper presents a PPO policy trained with rewards from a learned cost model, claiming 99.4% success on the 2x2x2 Rubik's Cube without search or solved-state sampling, but with weak evidential support.