Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data
英文标题：Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data
arXiv:2607.14318v1 Announce Type: new Abstract: We introduce COAT (Counterfactual Optimal Action Tree), a framework for learning interpretable prescriptive policies from observational data. COAT combines counterfactual outcome estimation with large-scale mixed-integer optimization, using column gen
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arXiv:2607.14318v1 Announce Type: new Abstract: We introduce COAT (Counterfactual Optimal Action Tree), a framework for learning interpretable prescriptive policies from observational data. COAT combines counterfactual outcome estimation with large-scale mixed-integer optimization, using column gen
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