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Exploiting Inferential Structure in Neural Processes
Neural Processes (NPs) are appealing due to their ability to perform fas...
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Learning the optimal state-feedback via supervised imitation learning
Imitation learning is a control design paradigm that seeks to learn a co...
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On the stability analysis of optimal state feedbacks as represented by deep neural models
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