Causal inference and discovery

A relatively recent addition to the arsenal of machine learning, causal inference is growing to become a powerful tool for the phenomenological understanding of natural and artificial phenomena. In particular, it provides means to estimate the effects of interventions from mere observations thus providing invaluable help for automated decision-making, offline RL and multiple other fields.
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