Joel Veness
Impact in
- Artificial Intelligence top 0.02%
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
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- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
Papers in
-
- Reinforcement Learning in Robotics 11
- Artificial Intelligence in Games 10
- Evolutionary Algorithms and Applications 7
- Algorithms and Data Compression 4
- Speech Recognition and Synthesis 3
- Machine Learning and Algorithms 2
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- Advanced Bandit Algorithms Research 3
- Co-authors
- Dharshan KumaranDemis HassabisAndrei A. RusuDavid SilverMarc G. BellemareShane LeggCharles BeattieDaan Wierstra
- Journals
- Earth Surface Processes and Landforms (1 paper)Nature (1 paper)Journal of Artificial Intelligence Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- CanadaAustraliaUnited Kingdom
In The Last Decade
Joel Veness
21 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Artificial Intelligence 10.6k
- Computer Vision and Pattern Recognition 4.5k
- Computer Networks and Communications 3.6k
- Automotive Engineering 1.9k
- Control and Systems Engineering 3.5k
Countries citing papers authored by Joel Veness
This map shows the geographic impact of Joel Veness'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 Joel Veness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Veness more than expected).
Fields of papers citing papers by Joel Veness
This network shows the impact of papers produced by Joel Veness. 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 Joel Veness. The network helps show where Joel Veness may publish in the future.
Co-authors
The 25 scholars most cited alongside Joel Veness, 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 | 2023 | 10 | |
| 2 | 2018 | 1 | |
| 3 | Overcoming catastrophic forgetting in neural networks Hit paper breakdown → | 2017 | 3594 |
| 4 | The Forget-me-not Process | 2016 | 1 |
| 5 | Human-level control through deep reinforcement learning Hit paper breakdown → | 2015 | 17153 |
| 6 | Skip Context Tree Switching | 2014 | 10 |
| 7 | Bayesian Learning of Recursively Factored Environments | 2013 | 10 |
| 8 | 2013 | 4 | |
| 9 | Sketch-Based Linear Value Function Approximation | 2012 | 11 |
| 10 | 2012 | 15 | |
| 11 | 2012 | 110 | |
| 12 | Variance Reduction in Monte-Carlo Tree Search | 2011 | 8 |
| 13 | 2011 | 0 | |
| 14 | 2011 | 0 | |
| 15 | Monte-Carlo Planning in Large POMDPs Hit paper breakdown → | 2010 | 484 |
| 16 | 2010 | 8 | |
| 17 | Bootstrapping from Game Tree Search | 2009 | 25 |
| 18 | 2007 | 10 | |
| 19 | 1982 | 49 | |
| 20 | The role of fluting in gully extension. | 1980 | 10 |
About Joel Veness
Joel Veness is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Soil Science and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 21.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Artificial Intelligence in Games (10 papers), Evolutionary Algorithms and Applications (7 papers), Algorithms and Data Compression (4 papers), Sports Analytics and Performance (3 papers), Speech Recognition and Synthesis (3 papers), Advanced Bandit Algorithms Research (3 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (10.6k citations), Computer Vision and Pattern Recognition (4.5k citations), Computer Networks and Communications (3.6k citations), Automotive Engineering (1.9k citations) and Control and Systems Engineering (3.5k citations). Joel Veness has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Dharshan Kumaran, Demis Hassabis, Andrei A. Rusu, David Silver, Marc G. Bellemare, Shane Legg, Charles Beattie, Daan Wierstra, Georg Ostrovski and Andreas Fidjeland. Their work appears in journals such as Earth Surface Processes and Landforms, Nature, Journal of Artificial Intelligence Research, Proceedings of the National Academy of Sciences and UCL Discovery (University College London).
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.