arxiv
PublishedApril 29, 2026 at 4:00 AM
Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
Publisher summary· verbatim
arXiv:2604.25061v1 Announce Type: cross Abstract: Custom policy-learning pipelines in Spark fail for two coupled systems reasons: rowwise Python execution makes inference impractical, and driver-side candidate materialization makes split search fragile at feature scale. We present Spark Policy Toolk
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Originally published on arxiv ↗