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News/CAFE: Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
arxiv
PublishedOctober 28, 2026 at 4:00 AM

CAFE: Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning

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arXiv:2602.16435v2 Announce Type: replace-cross Abstract: 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 distr

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation2harxivCounterfactual Model Testing Under Distribution Shift2harxivCentralized Critics for N-Agent Ad Hoc Teamwork2harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning2h
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