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most citedBayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning

39 citations · 46 across the 4 of their papers we have counts for

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stat.ML2023★ 5 cited

Variational Sequential Optimal Experimental Design using Reinforcement Learning

Wanggang Shen, Jiayuan Dong, Xun Huan

We present variational sequential optimal experimental design (vsOED), a novel method for optimally designing a finite sequence of experiments within a Bayesian framework with info…