Learning Dexterous Manipulation Policies from Experience and Imitation

We explore learning-based approaches for feedback control of a dexterous five-finger hand performing non-prehensile manipulation. First, we learn local controllers that are able to perform the task starting at a predefined initial state... (read more)

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