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Meta-learning curiosity algorithms

Research article (arXiv (Cornell University), 2020) · cited 16× · AI/ML
CreativeWork academia

Facts

5 properties
Instance of
scholarly article[2]
Publication date
March 11, 2020as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
arXivas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Meta-learning curiosity algorithmsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2995196103as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.48550/ARXIV.2003.05325as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 4
Tomas Lozano-Pérez, Ferran Alet, Leslie Pack Kaelbling, Martin F. Schneider
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Tomas Lozano-Pérez, Ferran Alet, Leslie Pack Kaelbling, Martin F. Schneider
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Summary

Meta-learning curiosity algorithms is a scholarly article[1].

Related Entities

Tomas Lozano-Pérez

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Meta-learning curiosity algorithms. Retrieved October 19, 2026, from https://4ort.xyz/entity/meta-learning-curiosity-algorithms
MLA “Meta-learning curiosity algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 19 Oct. 2026, https://4ort.xyz/entity/meta-learning-curiosity-algorithms.
BibTeX @misc{4ortxyz_meta-learning-curiosity-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Meta-learning curiosity algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/meta-learning-curiosity-algorithms}, note = {Accessed: 2026-10-19}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Meta-learning curiosity algorithms — https://4ort.xyz/entity/meta-learning-curiosity-algorithms (retrieved 2026-10-19)

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