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Learning to Brachiate via Simplified Model Imitation
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DescriptionWe develop highly dynamic 2D brachiation skills for a gibbon model using reinforcement learning. A control policy for a simplified model is learned, which then guides the learning for a 14-link articulated model. Our results demonstrate brachiation motions with significant flight phases and emergent swing-pumping behavior.