Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/reprel-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction
MLA“RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reprel-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction.
BibTeX@misc{4ortxyz_reprel-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction}}, year = {2026}, url = {https://4ort.xyz/entity/reprel-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction — https://4ort.xyz/entity/reprel-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction (retrieved 2026-05-24)