Elamur Research⌕
☰
home / authors / Joel Lehman

Joel Lehman

Joel Lehman has 2 papers in our library, in 2019–2023; often with Jeff Clune, Kenneth Owen Stanley, Andrew Dai.

2 papers in our library · 2019–2023

OpenAlex · ORCID · Wikidata · h-index 37 · 114 works · 6,384 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 65 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7093

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of OxfordOxford · United Kingdom2025–2026 · 3 paperscurrent🏢Cosmos CorporationBethesda · United States2026 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2012–2015 · 26 papersEmployment 2012–2015🎓University of Central FloridaOrlando · United States2008–2013 · 17 papersEducationEmployment 2008–2012🏢Uber AISan Francisco · United States2018–2020 · 16 papers🎓IT University of CopenhagenCopenhagen · Denmark2013–2018 · 16 papersEmployment 2016–2017🎓University of WyomingLaramie · United States2014–2019 · 2 papers🏢OpenAISan Francisco · United States2020–2023 · 1 paperEmployment 2020–2022
🏛️UberUnited States2017–2020Employment 2017–2020
🎓The Ohio State UniversityColumbus · United StatesEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workGenetics · 1 work

 Works by year

2020s

20231 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions (2019 · 154 citations)
    Progress in machine learning usually follows a fixed pattern: people choose a problem, and researchers build algorithms to solve it.
  2. Quality-Diversity through AI Feedback (2023 · 19 citations)
    Quality-diversity (QD) search maintains a population of solutions that are both good and varied. However, it has rarely been used for creative text because quality and diversity are hard to define in code. The authors propose QDAIF, an evolutionary method in which language models handle all three parts of QD search.…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Designing neural networks through neuroevolution ↗Nature Machine Intelligence · no summary yetKenneth Owen Stanley et al.2018 · 702 citations
  2. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their SolutionsarXiv:1901.01753Rui Wang, Joel Lehman, Jeff Clune, et al.2019 · 154 citations
  3. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 65 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/joel-lehman/