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venturebeat.com
OpenAI’s ‘state-of-the-art’ system gives robots humanlike dexterity
OpenAI researchers developed a system that uses a reinforcement model to direct robot hands in grasping and manipulating objects with state-of-the-art precision. All the more impressive, it was trained entirely digitally, in a computer simulation, and wasn't provided any human demonstrations by which to learn.
Jul 30, 2018
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Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before. The simulator need not match the real-world in appearance or dynamics; instead, we randomize relevant aspects of the environment, from friction to action delays to sensor noise. Our new results provi
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Our latest robotics techniques allow robot controllers, trained entirely i
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We’ve created a robotics system, trained entirely in simulation and
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We're releasing eight simulated robotics environments and a Base
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