Abstract: We consider the problem of parsimoniously selecting sensors or scheduling sensor observation actions to optimize the covariance of a predicted system state. In contrast to previous work on ...
Abstract: Reinforcement Learning (RL) algorithms are widely considered to be the enabling technology for deep learning and allow for agents in complex systems to learn in a dynamic environment. In ...
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