André Barreto
Impact in
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Domain Adaptation and Few-Shot Learning
- Artificial Intelligence in Games
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- Adaptive Dynamic Programming Control
Papers in
-
- Reinforcement Learning in Robotics 14
- Evolutionary Algorithms and Applications 6
- Explainable Artificial Intelligence (XAI) 2
- Data Stream Mining Techniques 1
- Artificial Intelligence in Games 1
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- Supply Chain and Inventory Management 2
- Co-authors
- David Silver (5 shared papers)Charles W. Anderson (1 shared paper)Tom Schaul (3 shared papers)Doina Precup (5 shared papers)Diana Borsa (3 shared papers)Jonathan J. Hunt (3 shared papers)Rémi Munos (2 shared papers)Shaobo Hou (3 shared papers)
- Journals
- Artificial Intelligence (1 paper)BMC Genomics (1 paper)Proceedings of the National Academy of Sciences (1 paper)UCL Discovery (University College London) (1 paper)arXiv (Cornell University) (6 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
André Barreto
16 papers receiving 216 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 176
- Computational Theory and Mathematics 44
- Control and Systems Engineering 46
- Computational Mathematics 1
- Management Science and Operations Research 19
Countries citing papers authored by André Barreto
This map shows the geographic impact of André Barreto'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 André Barreto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Barreto more than expected).
Fields of papers citing papers by André Barreto
This network shows the impact of papers produced by André Barreto. 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 André Barreto. The network helps show where André Barreto may publish in the future.
Co-authors
The 25 scholars most cited alongside André Barreto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2020 | 37 | |
| 3 | 2007 | 35 | |
| 4 | The predictron: end-to-end learning and planning | 2017 | 25 |
| 5 | 2019 | 19 | |
| 6 | 2019 | 15 | |
| 7 | On Efficiency in Hierarchical Reinforcement Learning | 2020 | 9 |
| 8 | Value-Aware Loss Function for Model-based Reinforcement Learning | 2017 | 7 |
| 9 | 2018 | 7 | |
| 10 | 2016 | 5 | |
| 11 | 2012 | 4 | |
| 12 | 2018 | 4 | |
| 13 | Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates | 2019 | 3 |
| 14 | Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning | 2021 | 1 |
| 15 | Knowledge Representation for Reinforcement Learning using General Value Functions | 2018 | 1 |
| 16 | 2018 | 1 |
About André Barreto
André Barreto is a scholar working on Artificial Intelligence, Management Information Systems, Information Systems, Computational Theory and Mathematics and Molecular Biology, having authored 16 papers that have together received 223 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (14 papers), Evolutionary Algorithms and Applications (6 papers), Supply Chain and Inventory Management (2 papers), Software Engineering Research (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Data Stream Mining Techniques (1 paper), Artificial Intelligence in Games (1 paper) and Adaptive Dynamic Programming Control (1 paper). The work is most often cited by research in Artificial Intelligence (176 citations), Computational Theory and Mathematics (44 citations), Control and Systems Engineering (46 citations), Computational Mathematics (1 citation) and Management Science and Operations Research (19 citations). André Barreto has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David Silver, Charles W. Anderson, Tom Schaul, Doina Precup, Diana Borsa, Jonathan J. Hunt, Rémi Munos, Shaobo Hou, Will Dabney and Hado P. van Hasselt. Their work appears in journals such as Artificial Intelligence, BMC Genomics, Proceedings of the National Academy of Sciences, UCL Discovery (University College London) 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.