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Abstract: This paper considers real-time control and learning problems for finite-dimensional linear systems under binary-valued and randomly disturbed output observations, which arise in various ...
Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
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