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CAFE: Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
Automated feature engineering (AFE) enables AI systems to autonomously construct high-utility representations from raw tabular data. However, existing AFE methods rely on statistical heuristics, yielding brittle features that fail under distribution shift. We introduce CAFE, a framework that reformu
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