Noam Brown
Impact in
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
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- Advanced Bandit Algorithms Research
- Game Theory and Applications
- Auction Theory and Applications
Papers in
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- Artificial Intelligence in Games 19
- Reinforcement Learning in Robotics 10
- Evolutionary Algorithms and Applications 2
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- Advanced Bandit Algorithms Research 6
- Game Theory and Applications 3
- Co-authors
- Tüomas Sandholm (18 shared papers)Sam Ganzfried (2 shared papers)Christian Kroer (2 shared papers)Adam Lerer (3 shared papers)Hengyuan Hu (1 shared paper)Jakob Foerster (1 shared paper)Gabriele Farina (1 shared paper)Hugh Zhang (1 shared paper)
- Journals
- Science (2 papers)International Joint Conference on Artificial Intelligence (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (5 papers)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Noam Brown
22 papers receiving 730 citations
Noam Brown's Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 565
- Management Science and Operations Research 210
- Safety Research 43
- Economics and Econometrics 128
- Health Informatics 6
Countries citing papers authored by Noam Brown
This map shows the geographic impact of Noam Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noam Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Brown more than expected).
Fields of papers citing papers by Noam Brown
This network shows the impact of papers produced by Noam Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noam Brown. The network helps show where Noam Brown may publish in the future.
Co-authors
The 10 scholars most cited alongside Noam Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Superhuman AI for multiplayer poker Hit paper breakdown → | 2019 | 294 |
| 2 | Superhuman AI for heads-up no-limit poker: Libratus beats top professionals Hit paper breakdown → | 2017 | 264 |
| 3 | 2017 | 34 | |
| 4 | 2019 | 33 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 20 | |
| 7 | Safe and Nested Subgame Solving for Imperfect-Information Games | 2017 | 18 |
| 8 | 2020 | 16 | |
| 9 | Regret-based pruning in extensive-form games | 2015 | 15 |
| 10 | 2014 | 15 | |
| 11 | Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning | 2017 | 8 |
| 12 | 2016 | 8 | |
| 13 | Safe and Nested Endgame Solving for Imperfect-Information Games. | 2017 | 8 |
| 14 | 2018 | 6 | |
| 15 | 2015 | 4 | |
| 16 | Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning. | 2016 | 2 |
| 17 | 2019 | 2 | |
| 18 | 2022 | 1 | |
| 19 | Baby tartanian8: winning agent from the 2016 annual computer poker competition | 2016 | 1 |
| 20 | Combining Deep Reinforcement Learning and Search for Imperfect-Information Games | 2020 | 1 |
About Noam Brown
Noam Brown is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Clinical Psychology and Sociology and Political Science, having authored 22 papers that have together received 776 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (19 papers), Reinforcement Learning in Robotics (10 papers), Sports Analytics and Performance (6 papers), Advanced Bandit Algorithms Research (6 papers), Gambling Behavior and Treatments (5 papers), Digital Games and Media (4 papers), Game Theory and Applications (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (565 citations), Management Science and Operations Research (210 citations), Safety Research (43 citations), Economics and Econometrics (128 citations) and Health Informatics (6 citations). Noam Brown has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Tüomas Sandholm, Sam Ganzfried, Christian Kroer, Adam Lerer, Hengyuan Hu, Jakob Foerster, Gabriele Farina, Hugh Zhang, Brandon Amos and Anton Bakhtin. Their work appears in journals such as Science, International Joint Conference on Artificial Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence, International Conference on Machine Learning and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.