OpenAI Blog · Oct 15, 2019
Solving Rubik’s Cube with a robot hand
Reviewed by Errol Vogt, Site support technician & online learning analyst · original summary · editorial policy
Solving Rubik’s Cube with a robot hand. 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 prob… This update is relevant for small-office operators tracking changes in their tools.
Operator takeaway: For operators: review whether 'Solving Rubik’s Cube with a robot hand' affects your current setup before relying on it in production.
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