AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A reinforcement learning formulation is presented to solve in-hand assembly: mating two rigid objects within a single dexterous hand, with no second arm and no fixture, which shows robustness to state-estimation errors caused by oc- clusion.
This work presents a unified framework that models all four skills in a single formulation that shares the same state and action spaces and a common objective structure, and suggests that different dexterous manipulation skills can be viewed as instantiations of a shared task formulation, revealing the intrinsic consis...
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