Arthur Guez
Impact in
- Artificial Intelligence top 0.05%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Health Informatics top 0.5%
Papers in
-
- Reinforcement Learning in Robotics 10
- Artificial Intelligence in Games 6
- Evolutionary Algorithms and Applications 4
- Machine Learning and Algorithms 2
-
- EEG and Brain-Computer Interfaces 4
- Co-authors
- David SilverDemis HassabisIoannis AntonoglouJulian SchrittwieserTimothy LillicrapLaurent SifreThore GraepelAja Huang
- Journals
- Nature (2 papers)Experimental Neurology (1 paper)Science (1 paper)International Journal of Neural Systems (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Arthur Guez
17 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Artificial Intelligence 9.4k
- Health Informatics 221
- Computer Vision and Pattern Recognition 2.7k
- Automotive Engineering 1.2k
- Control and Systems Engineering 2.3k
Countries citing papers authored by Arthur Guez
This map shows the geographic impact of Arthur Guez'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 Arthur Guez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Guez more than expected).
Fields of papers citing papers by Arthur Guez
This network shows the impact of papers produced by Arthur Guez. 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 Arthur Guez. The network helps show where Arthur Guez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arthur Guez, 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 | On the role of planning in model-based deep reinforcement learning | 2021 | 10 |
| 2 | Value-driven Hindsight Modelling | 2020 | 1 |
| 3 | A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play Hit paper breakdown → | 2018 | 1827 |
| 4 | The predictron: end-to-end learning and planning | 2017 | 25 |
| 5 | Imagination-Augmented Agents for Deep Reinforcement Learning | 2017 | 49 |
| 6 | Mastering the game of Go without human knowledge Hit paper breakdown → | 2017 | 5038 |
| 7 | Above ground biomass estimation in palm trees using Terrestrial LiDAR and tree modelling | 2017 | 5 |
| 8 | Mastering the game of Go with deep neural networks and tree search Hit paper breakdown → | 2016 | 8793 |
| 9 | Deep Reinforcement Learning with Double Q-Learning Hit paper breakdown → | 2016 | 2158 |
| 10 | Bayes-Adaptive Simulation-based Search with Value Function Approximation | 2014 | 7 |
| 11 | Better Optimism By Bayes: Adaptive Planning with Rich Models | 2014 | 1 |
| 12 | 2013 | 22 | |
| 13 | 2012 | 45 | |
| 14 | Adaptive control of epileptic seizures using reinforcement learning | 2010 | 4 |
| 15 | 2010 | 9 | |
| 16 | 2009 | 59 | |
| 17 | Adaptive treatment of epilepsy via batch-mode reinforcement learning | 2008 | 40 |
About Arthur Guez
Arthur Guez is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Neurology, Developmental and Educational Psychology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 18.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Artificial Intelligence in Games (6 papers), EEG and Brain-Computer Interfaces (4 papers), Evolutionary Algorithms and Applications (4 papers), Neurological disorders and treatments (3 papers), Educational Games and Gamification (2 papers), Machine Learning and Algorithms (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Artificial Intelligence (9.4k citations), Health Informatics (221 citations), Computer Vision and Pattern Recognition (2.7k citations), Automotive Engineering (1.2k citations) and Control and Systems Engineering (2.3k citations). Arthur Guez has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include David Silver, Demis Hassabis, Ioannis Antonoglou, Julian Schrittwieser, Timothy Lillicrap, Laurent Sifre, Thore Graepel, Aja Huang, George van den Driessche and Hado van Hasselt. Their work appears in journals such as Nature, Experimental Neurology, Science, International Journal of Neural Systems 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.