--- title: "Igor Babuschkin — author profile and papers · Reasoning" description: "Igor Babuschkin: 2 papers on Elamur Research (2022), h-index 32 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/igor-babuschkin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/igor-babuschkin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Igor Babuschkin # Igor Babuschkin Igor Babuschkin has 2 papers in our library, in 2022, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Harri Edwards](https://md.research.elamur.ai/free/en/authors/harri-edwards/), [Ilya Sutskever](https://md.research.elamur.ai/free/en/authors/ilya-sutskever/), [Jesse Michael Han](https://md.research.elamur.ai/free/en/authors/jesse-michael-han/). 2 papers in our library · 2022 [OpenAlex](https://openalex.org/A5085244021) · [ORCID](https://orcid.org/0000-0001-5156-5333) · [Wikidata](https://www.wikidata.org/wiki/Q138597133) · [**h-index 32**](https://openalex.org/authors/A5085244021) · [190 works](https://openalex.org/works?filter=author.id:A5085244021) · [9,933 citations](https://openalex.org/works?filter=author.id:A5085244021&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/igor-babuschkin/#papers) · [🔗 Cited 12,380 times in our library](https://md.research.elamur.ai/free/en/authors/igor-babuschkin/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5466](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5466) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Igor+Babuschkin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Igor+Babuschkin) · [dblp](https://dblp.org/search?q=Igor+Babuschkin) · [ACL Anthology](https://aclanthology.org/search/?q=Igor+Babuschkin) ## Affiliations [🎓**University of Manchester** Manchester · United Kingdom 2016–2019 · 91 papers](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🔬**Centro Brasileiro de Pesquisas Físicas** Rio de Janeiro · Brazil 2016–2017 · 16 papers](https://ror.org/02wnmk332) · [🎓**University of Zurich** Zurich · Switzerland 2016–2017 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) · [🔬**Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara** Ferrara · Italy 2017–2018 · 5 papers](https://ror.org/00zs3y046) · [🏢**Google DeepMind** London · United Kingdom 2019–2022 · 3 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🔬**European Organization for Nuclear Research** Geneva · Switzerland 2016–2019 · 3 papers](https://ror.org/01ggx4157) · [🏢**Google** Mountain View · United States 2015–2018 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Heidelberg University** Heidelberg · Germany 2016–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/heidelberg-university/) · [🎓**University of Groningen** Groningen · Netherlands 2017–2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-groningen/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2016–2017 · 2 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/igor-babuschkin/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets](https://md.research.elamur.ai/free/en/papers/power-2022-grokking-generalization-overfitting-small-algorithmic/)** *(2022 · 177 citations)* Why heavily overparameterized networks generalize instead of simply memorizing their training data is still poorly understood. 2. **[Formal Mathematics Statement Curriculum Learning](https://md.research.elamur.ai/free/en/papers/polu-2022-formal-mathematics-statement-curriculum-learning/)** *(2022 · 133 citations)* Neural theorem provers for formal mathematics lack the self-play mechanism that drives progress in two-player games. ## All works 11 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. **[Grandmaster level in StarCraft II using multi-agent reinforcement learning ↗](https://doi.org/10.1038/s41586-019-1724-z) Nature · no summary yet**Oriol Vinyals et al.*2019 · 3,577 citations* 2. **[Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗](https://arxiv.org/abs/2112.11446) arXiv:2112.11446 · no summary yet**Jack W. Rae et al.*2021 · 928 citations* 3. **[Parallel WaveNet: Fast High-Fidelity Speech Synthesis ↗](https://arxiv.org/abs/1711.10433) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2017 · 403 citations* 4. [**Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets arXiv:2201.02177**Alethea Power, Yuri Burda, Harri Edwards, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/power-2022-grokking-generalization-overfitting-small-algorithmic/) 5. **[Relational Deep Reinforcement Learning ↗](https://arxiv.org/abs/1806.01830) arXiv (Cornell University) · no summary yet**Vinícius Zambaldi et al.*2018 · 160 citations* 6. **[Synthesizing Programs for Images using Reinforced Adversarial Learning ↗](https://arxiv.org/abs/1804.01118) arXiv (Cornell University) · no summary yet**Yaroslav Ganin et al.*2018 · 136 citations* 7. [**Formal Mathematics Statement Curriculum Learning arXiv:2202.01344**Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.*2022 · 133 citations*](https://md.research.elamur.ai/free/en/papers/polu-2022-formal-mathematics-statement-curriculum-learning/) 8. **[Deep reinforcement learning with relational inductive biases ↗](https://openalex.org/W2907502844) International Conference on Learning Representations · no summary yet**Vinícius Zambaldi et al.*2018 · 132 citations* 9. **[Unsupervised Doodling and Painting with Improved SPIRAL ↗](https://arxiv.org/abs/1910.01007) arXiv (Cornell University) · no summary yet**John F. J. Mellor et al.*2019 · 24 citations* 10. **[Unsupervised Neural Machine Translation with Generative Language Models Only ↗](https://arxiv.org/abs/2110.05448) arXiv (Cornell University) · no summary yet**Jesse Michael Han et al.*2021 · 22 citations* 11. **[AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning ↗](https://arxiv.org/abs/2308.03526) arXiv (Cornell University) · no summary yet**Michaël Mathieu et al.*2023 · 7 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Harri Edwards](https://md.research.elamur.ai/free/en/authors/harri-edwards/) - [Ilya Sutskever](https://md.research.elamur.ai/free/en/authors/ilya-sutskever/) - [Jesse Michael Han](https://md.research.elamur.ai/free/en/authors/jesse-michael-han/) - [Kunhao Zheng](https://md.research.elamur.ai/free/en/authors/kunhao-zheng/) - [Mantas Baksys](https://md.research.elamur.ai/free/en/authors/mantas-baksys/) - [Stanislas Polu](https://md.research.elamur.ai/free/en/authors/stanislas-polu/) - [Vedant Misra](https://md.research.elamur.ai/free/en/authors/vedant-misra/) - [Yuri Burda](https://md.research.elamur.ai/free/en/authors/yuri-burda/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Science](https://md.research.elamur.ai/free/en/venues/science/) - International Conference on Learning Representations - Nature ## Cited by Papers of our library cite their works 12,380 times (of the 149,439 papers whose bibliographies we read); [2,628 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/igor-babuschkin/cited-by/). Updated 2 November 2026