--- title: "Peter L. Bartlett — author profile and papers — Elamur Research" description: "Peter L. Bartlett, Google: 2 papers on Elamur Research (2016–2024), h-index 69 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/peter-l-bartlett/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/peter-l-bartlett/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Peter L. Bartlett # Peter L. Bartlett Peter L. Bartlett has 2 papers in our library, in 2016–2024; often with [Andrea Zanette](https://md.research.elamur.ai/free/en/authors/andrea-zanette/), [Ilya Sutskever](https://md.research.elamur.ai/free/en/authors/ilya-sutskever/), [Jiahao Qiu](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/). 2 papers in our library · 2016–2024 [OpenAlex](https://openalex.org/A5030261391) · [ORCID](https://orcid.org/0000-0002-8760-3140) · [Wikidata](https://www.wikidata.org/wiki/Q67063787) · [**h-index 69**](https://openalex.org/authors/A5030261391) · [423 works](https://openalex.org/works?filter=author.id:A5030261391) · [28,278 citations](https://openalex.org/works?filter=author.id:A5030261391&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/peter-l-bartlett/#papers) · [🔗 Cited 116 times in our library](https://md.research.elamur.ai/free/en/authors/peter-l-bartlett/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4024](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4024) 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=Peter+L.+Bartlett) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peter+L.+Bartlett) · [dblp](https://dblp.org/search?q=Peter+L.+Bartlett) · [ACL Anthology](https://aclanthology.org/search/?q=Peter+L.+Bartlett) ## Affiliations [🎓**University of California, Berkeley** Berkeley · United States 2002–2026 · 175 papersEmployment since 2003*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Google** Mountain View · United States 2021–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Google DeepMind** London · United Kingdom 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🤝**Simons Foundation** New York · United States 2023–2026 · 3 papers*current*](https://ror.org/01cmst727) · [🏢**Adobe Systems** San Jose · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**Australian National University** Canberra · Australia 1993–2025 · 104 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🎓**Queensland University of Technology** Brisbane · Australia 2012–2019 · 13 papers](https://md.research.elamur.ai/free/en/universities/queensland-university-of-technology/) · [🎓**The University of Queensland** Brisbane · Australia 1991–1993 · 7 papersEducation](https://md.research.elamur.ai/free/en/universities/the-university-of-queensland/) · [🔬**Lawrence Berkeley National Laboratory** Berkeley · United States 2018 · 3 papers](https://md.research.elamur.ai/free/en/labs/lawrence-berkeley-national-laboratory/) · [🎓**The University of Melbourne** Melbourne · Australia 2007 · 2 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) 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 7 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Machine learning · 1 work](https://md.research.elamur.ai/free/en/concepts/machine-learning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/peter-l-bartlett/year/2024/) ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/peter-l-bartlett/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[RL²: Fast Reinforcement Learning via Slow Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/duan-2016-rl-2-fast-reinforcement-learning/)** *(2016 · 524 citations)* Deep RL agents usually need enormous amounts of experience: mastering one Atari game can take the equivalent of about 40 days of nonstop play, while a human needs roughly two hours. 2. **[Fast Best-of-N Decoding via Speculative Rejection](https://md.research.elamur.ai/free/en/papers/sun-2024-fast-best-n-decoding-speculative/)** *(2024 · 50 citations)* Best-of-N aligns an LLM at inference time without retraining. It samples many candidate answers and keeps the one a reward model rates highest. It can rival post-training methods such as RLHF or DPO, but competitive N values run into the thousands, which would need many accelerators. The authors observe that reward… ## All works 4 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. [**RL²: Fast Reinforcement Learning via Slow Reinforcement Learning arXiv:1611.02779**Yan Duan, John Schulman, Xi Chen, et al.*2016 · 524 citations*](https://md.research.elamur.ai/free/en/papers/duan-2016-rl-2-fast-reinforcement-learning/) 2. **[Fast Best-of-N Decoding via Speculative Rejection](https://md.research.elamur.ai/free/en/papers/sun-2024-fast-best-n-decoding-speculative/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hanshi Sun, Momin Haider, Ruiqi Zhang, et al.*2024 · 50 citations* 3. **[A Learning-Based Approach to Reactive Security ↗](https://doi.org/10.1109/tdsc.2011.42) IEEE Transactions on Dependable and Secure Computing · no summary yet**Adam Barth et al.*2011 · 43 citations* 4. **[Agnostic learning with unknown utilities ↗](https://arxiv.org/abs/2104.08482) arXiv (Cornell University) · no summary yet**Kush Bhatia et al.*2021 · 2 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Andrea Zanette](https://md.research.elamur.ai/free/en/authors/andrea-zanette/) - [Ilya Sutskever](https://md.research.elamur.ai/free/en/authors/ilya-sutskever/) - [Jiahao Qiu](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/) - [John Schulman](https://md.research.elamur.ai/free/en/authors/john-schulman/) - [Mengdi Wang](https://md.research.elamur.ai/free/en/authors/mengdi-wang/) - [Ming Yin](https://md.research.elamur.ai/free/en/authors/ming-yin/) - [Pieter Abbeel](https://md.research.elamur.ai/free/en/authors/pieter-abbeel/) - [Ruiqi Zhang](https://md.research.elamur.ai/free/en/authors/ruiqi-zhang/) - [Xi Chen](https://md.research.elamur.ai/free/en/authors/xi-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - IEEE Transactions on Dependable and Secure Computing ## Cited by Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/peter-l-bartlett/cited-by/). Updated 3 November 2026