Gregory Farquhar
Impact in
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
-
- Distributed Control Multi-Agent Systems
Papers in
-
- Reinforcement Learning in Robotics 8
- Adversarial Robustness in Machine Learning 2
-
- Fuel Cells and Related Materials 2
- Co-authors
- Shimon Whiteson (9 shared papers)Jakob Foerster (5 shared papers)Nantas Nardelli (3 shared papers)Triantafyllos Afouras (2 shared papers)Maximilian Igl (3 shared papers)Tabish Rashid (2 shared papers)Bei Peng (1 shared paper)Tim Rocktäschel (2 shared papers)
- Journals
- Oxford University Research Archive (ORA) (University of Oxford) (3 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (5 papers)
- Partner nations
- United KingdomIsraelNetherlands
In The Last Decade
Gregory Farquhar
8 papers receiving 1.2k citations
Gregory Farquhar's Hit Papers
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 761
- Computer Networks and Communications 325
- Automotive Engineering 122
- Computational Theory and Mathematics 149
- Control and Systems Engineering 216
Countries citing papers authored by Gregory Farquhar
This map shows the geographic impact of Gregory Farquhar'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 Gregory Farquhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Farquhar more than expected).
Fields of papers citing papers by Gregory Farquhar
This network shows the impact of papers produced by Gregory Farquhar. 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 Gregory Farquhar. The network helps show where Gregory Farquhar may publish in the future.
Co-authors
The 14 scholars most cited alongside Gregory Farquhar, 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 | Counterfactual Multi-Agent Policy Gradients Hit paper breakdown → | 2018 | 1051 |
| 2 | 2017 | 171 | |
| 3 | 2019 | 10 | |
| 4 | Weighted QMIX: Expanding Monotonic Value Function Factorisation. | 2020 | 8 |
| 5 | 2017 | 5 | |
| 6 | 2020 | 5 | |
| 7 | TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning | 2017 | 4 |
| 8 | A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs | 2019 | 1 |
| 9 | Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning | 2019 | 0 |
About Gregory Farquhar
Gregory Farquhar is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Adversarial Robustness in Machine Learning (2 papers), Fuel Cells and Related Materials (2 papers), Adaptive Dynamic Programming Control (1 paper), Software Reliability and Analysis Research (1 paper), Auction Theory and Applications (1 paper), Markov Chains and Monte Carlo Methods (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Artificial Intelligence (761 citations), Computer Networks and Communications (325 citations), Automotive Engineering (122 citations), Computational Theory and Mathematics (149 citations) and Control and Systems Engineering (216 citations). Gregory Farquhar has collaborated with scholars based in United Kingdom, Israel and Netherlands. Frequent co-authors include Shimon Whiteson, Jakob Foerster, Nantas Nardelli, Triantafyllos Afouras, Maximilian Igl, Tabish Rashid, Bei Peng, Tim Rocktäschel, Mikayel Samvelyan and Christian Schroeder de Witt. Their work appears in journals such as Oxford University Research Archive (ORA) (University of Oxford), Proceedings of the AAAI Conference on Artificial Intelligence 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.