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CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling

Research article (2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021) · cited 16× · AI/ML
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CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling

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CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling is a scholarly article[1].

Key Facts

  • CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling. Retrieved May 24, 2026, from https://4ort.xyz/entity/crowdrl-an-end-to-end-reinforcement-learning-framework-for-data-labelling
MLA “CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crowdrl-an-end-to-end-reinforcement-learning-framework-for-data-labelling.
BibTeX @misc{4ortxyz_crowdrl-an-end-to-end-reinforcement-learning-framework-for-data-labelling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling}}, year = {2026}, url = {https://4ort.xyz/entity/crowdrl-an-end-to-end-reinforcement-learning-framework-for-data-labelling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling — https://4ort.xyz/entity/crowdrl-an-end-to-end-reinforcement-learning-framework-for-data-labelling (retrieved 2026-05-24)

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