Will Dabney
Impact in
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
-
- Reinforcement Learning in Robotics 13
- Evolutionary Algorithms and Applications 4
-
- Advanced Bandit Algorithms Research 2
- Co-authors
- Rémi Munos (11 shared papers)Georg Ostrovski (4 shared papers)David Silver (4 shared papers)Tom Schaul (3 shared papers)Mohammad Gheshlaghi Azar (4 shared papers)Bilal Piot (4 shared papers)Matteo Hessel (2 shared papers)Joseph Modayil (2 shared papers)
- Journals
- Nature (1 paper)International Conference on Learning Representations (1 paper)UCL Discovery (University College London) (1 paper)arXiv (Cornell University) (9 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Will Dabney
18 papers receiving 1.9k citations
Will Dabney's Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 1.0k
- Automotive Engineering 229
- Management Science and Operations Research 182
- Control and Systems Engineering 315
- Computer Networks and Communications 308
Countries citing papers authored by Will Dabney
This map shows the geographic impact of Will Dabney'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 Will Dabney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Dabney more than expected).
Fields of papers citing papers by Will Dabney
This network shows the impact of papers produced by Will Dabney. 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 Will Dabney. The network helps show where Will Dabney may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Dabney, 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 | Rainbow: Combining Improvements in Deep Reinforcement Learning Hit paper breakdown → | 2018 | 995 |
| 2 | Distributional Reinforcement Learning With Quantile Regression Hit paper breakdown → | 2018 | 294 |
| 3 | A distributional code for value in dopamine-based reinforcement learning Hit paper breakdown → | 2020 | 236 |
| 4 | 2017 | 146 | |
| 5 | Recurrent Experience Replay in Distributed Reinforcement Learning. | 2018 | 94 |
| 6 | 2019 | 50 | |
| 7 | 2017 | 41 | |
| 8 | 2023 | 34 | |
| 9 | Distributed Distributional Deterministic Policy Gradients | 2018 | 34 |
| 10 | 2020 | 32 | |
| 11 | Implicit Quantile Networks for Distributional Reinforcement Learning | 2018 | 19 |
| 12 | 2017 | 15 | |
| 13 | 2019 | 13 | |
| 14 | A Geometric Perspective on Optimal Representations for Reinforcement Learning | 2019 | 8 |
| 15 | An Analysis of Categorical Distributional Reinforcement Learning | 2018 | 4 |
| 16 | 2019 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 1 |
About Will Dabney
Will Dabney is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Evolutionary Algorithms and Applications (4 papers), Sports Analytics and Performance (2 papers), Advanced Bandit Algorithms Research (2 papers), Smart Grid Energy Management (2 papers), Behavioral and Psychological Studies (1 paper), Insect and Pesticide Research (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (1.0k citations), Automotive Engineering (229 citations), Management Science and Operations Research (182 citations), Control and Systems Engineering (315 citations) and Computer Networks and Communications (308 citations). Will Dabney has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rémi Munos, Georg Ostrovski, David Silver, Tom Schaul, Mohammad Gheshlaghi Azar, Bilal Piot, Matteo Hessel, Joseph Modayil, Hado van Hasselt and Dan Horgan. Their work appears in journals such as Nature, International Conference on Learning Representations, UCL Discovery (University College London), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.