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Active learning for optimal intervention design in causal models - Nature Machine Intelligence

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Active learning for optimal intervention design in causal models - Nature Machine Intelligence

Sequential experimental design to discover interventions that achieve a desired outcome is a key problem in various domains including science, engineering and public policy. When the space of possible interventions is large, making an exhaustive search infeasible, experimental design strategies are needed.

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Active learning for optimal intervention design in causal models - Nature Machine Intelligence

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Active learning for optimal intervention design in causal models - Nature Machine Intelligence

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