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Learning Soccer Juggling Skills With Layer-wise Mixture of Experts
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DescriptionWe introduce a method for learning physics-based soccer juggling skills via deep reinforcement learning. Innovations include a Layer-wise Mixture of Experts neural network policy for efficient learning, a control graph for authoring the many skills and their transitions, and an adaptive random walk curriculum on the control graph.