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Measurement and estimation of parameters are essential for science and engineering, where one of the main quests is to find systematic schemes that can achieve high precision.
Scalable trust-region method for deep reinforcement learning using kronecker-factored approximation
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Optimal control design of pulse shapes as analytic functions
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Human-level control through deep reinforcement learning
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