---
title: "Andrea Michi · Google DeepMind — author profile and papers"
description: "Andrea Michi, Google DeepMind: 2 papers on Elamur Research (2023), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/andrea-michi/"
---
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# Andrea Michi

Andrea Michi has 2 papers in our library, in 2023; often with [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/), [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/), [Matthieu Geist](https://md.research.elamur.ai/free/en/authors/matthieu-geist/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5046831695) · [ORCID](https://orcid.org/0009-0001-4797-3593) · [**h-index 4**](https://openalex.org/authors/A5046831695) · [9 works](https://openalex.org/works?filter=author.id:A5046831695) · [278 citations](https://openalex.org/works?filter=author.id:A5046831695&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/andrea-michi/#papers) · [🔗 Cited 77 times in our library](https://md.research.elamur.ai/free/en/authors/andrea-michi/cited-by/) · [⭐ Paper Stars ranking: #6377](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6377)

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=Andrea+Michi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Andrea+Michi) · [dblp](https://dblp.org/search?q=Andrea+Michi) · [ACL Anthology](https://aclanthology.org/search/?q=Andrea+Michi)

## Affiliations

[🏢**Google DeepMind** London · United Kingdom 2019–2024 · 3 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Imperial College London** London · United Kingdom 2019 · 1 paperEducation](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🏢**Google** London · United Kingdom Employment](https://md.research.elamur.ai/free/en/companies/google-united-kingdom/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/andrea-michi/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Faster Sorting Algorithms Discovered Using Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/mankowitz-2023-faster-sorting-algorithms-discovered-deep/)** *(2023 · 199 citations)* Tiny sorting routines for a handful of elements run an enormous number of times, because divide-and-conquer sorts call them on short subarrays.
2. **[Nash Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/munos-2023-nash-learning-human-feedback/)** *(2023 · 32 citations)* Standard RLHF reduces pairwise human judgments to a scalar reward, typically through a Bradley-Terry model, and then optimizes the LLM against that score.

## Co-authors here

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

- [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/)
- [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/)
- [Matthieu Geist](https://md.research.elamur.ai/free/en/authors/matthieu-geist/)
- [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/)
- [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/)
- [Remi Munos](https://md.research.elamur.ai/free/en/authors/remi-munos/)
- [Sertan Girgin](https://md.research.elamur.ai/free/en/authors/sertan-girgin/)

## Venues

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

- [Nature](https://md.research.elamur.ai/free/en/venues/nature/): [Nature 2023](https://md.research.elamur.ai/free/en/venues/nature/2023/)

## Cited by

Papers of our library cite their works 77 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/andrea-michi/cited-by/).

Updated 3 November 2026
