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Solving Rubik’s Cube with a Robot Hand

pjk

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https://openai.com/blog/solving-rubiks-cube/?fbclid=IwAR3osB9xE6X6RiM5D8cSoVyKJEWv79XCy61EF5OZo7hTahyaef6e8GzJlvw

We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic Domain Randomization (ADR). The system can handle situations it never saw during training, such as being prodded by a stuffed giraffe. This shows that reinforcement learning isn’t just a tool for virtual tasks, but can solve physical-world problems requiring unprecedented dexterity.
 
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