Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark

Saved in:
Bibliographic Details
Published in:ArXiv cs.DB Recent Papers
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864130790185500673
collection WordPress RSS
FRELIP Feed Integration
container_title ArXiv cs.DB Recent Papers
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:48803
institution FRELIP
journal_source_facet ArXiv cs.DB Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
ArXiv cs.DB Recent Papers
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display ArXiv cs.DB Recent Papers
Computer Science & IT
Engineering & Technology
ArXiv cs.DB Recent Papers
Computer Science & IT
Engineering & Technology
subject_facet ArXiv cs.DB Recent Papers
Computer Science & IT
Engineering & Technology
title Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
title_auth Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
title_full Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
title_fullStr Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
title_full_unstemmed Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
title_short Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
title_sort spark policy toolkit: semantic contracts and scalable execution for policy learning in spark
topic ArXiv cs.DB Recent Papers
Computer Science & IT
Engineering & Technology
url https://arxiv.org/abs/2604.25061v1