arXiv (OAI Expanded)
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Learning Options for Compositional Motor Control with Adapter Banks
Learning flexible motor primitives is a hallmark of skilled motor control. Recent neuroscience theory proposes that motor primitives may be implemented as low-rank perturbations of a shared recurrent network, but leaves open how such a system is learned. We translate this principle into a novel arch
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