Matthew E. Taylor
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Domain Adaptation and Few-Shot Learning
- Data Stream Mining Techniques
- Adversarial Robustness in Machine Learning
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- Robot Manipulation and Learning
- Traffic control and management
Papers in
-
- Reinforcement Learning in Robotics 96
- Evolutionary Algorithms and Applications 31
- Data Stream Mining Techniques 19
- Multi-Agent Systems and Negotiation 7
- Machine Learning and Algorithms 7
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- Robot Manipulation and Learning 16
- Co-authors
- Peter Stone (21 shared papers)Pablo Hernández-Leal (11 shared papers)Bilal Kartal (7 shared papers)Shimon Whiteson (7 shared papers)Tim Brys (11 shared papers)Yaxin Liu (2 shared papers)Halit Bener Suay (5 shared papers)Sonia Chernova (5 shared papers)
- Journals
- Autonomous Agents and Multi-Agent Systems (6 papers)Neural Computing and Applications (5 papers)Journal of Machine Learning Research (3 papers)Journal of Artificial Intelligence Research (2 papers)Adaptive Behavior (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew E. Taylor
154 papers receiving 3.7k citations
Matthew E. Taylor's Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 2.6k
- Control and Systems Engineering 841
- Management Science and Operations Research 315
- Computational Theory and Mathematics 400
- Computer Science Applications 123
Countries citing papers authored by Matthew E. Taylor
This map shows the geographic impact of Matthew E. Taylor'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 Matthew E. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Taylor more than expected).
Fields of papers citing papers by Matthew E. Taylor
This network shows the impact of papers produced by Matthew E. Taylor. 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 Matthew E. Taylor. The network helps show where Matthew E. Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transfer Learning for Reinforcement Learning Domains: A Survey Hit paper breakdown → | 2009 | 914 |
| 2 | A survey and critique of multiagent deep reinforcement learning Hit paper breakdown → | 2019 | 350 |
| 3 | 2007 | 127 | |
| 4 | 2007 | 110 | |
| 5 | 2011 | 98 | |
| 6 | Reinforcement learning from demonstration through shaping | 2015 | 84 |
| 7 | 2011 | 76 | |
| 8 | Online Multi-Task Learning for Policy Gradient Methods | 2014 | 74 |
| 9 | 2018 | 72 | |
| 10 | 2013 | 71 | |
| 11 | 2005 | 70 | |
| 12 | 2007 | 66 | |
| 13 | 2008 | 64 | |
| 14 | 2006 | 60 | |
| 15 | 2024 | 59 | |
| 16 | 1991 | 54 | |
| 17 | 2015 | 44 | |
| 18 | 2009 | 42 | |
| 19 | 2014 | 41 | |
| 20 | 2014 | 41 |
About Matthew E. Taylor
Matthew E. Taylor is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 160 papers that have together received 3.9k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (96 papers), Evolutionary Algorithms and Applications (31 papers), Data Stream Mining Techniques (19 papers), Robot Manipulation and Learning (16 papers), Advanced Bandit Algorithms Research (12 papers), Adaptive Dynamic Programming Control (8 papers), Multi-Agent Systems and Negotiation (7 papers) and Machine Learning and Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Control and Systems Engineering (841 citations), Management Science and Operations Research (315 citations), Computational Theory and Mathematics (400 citations) and Computer Science Applications (123 citations). Matthew E. Taylor has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter Stone, Pablo Hernández-Leal, Bilal Kartal, Shimon Whiteson, Tim Brys, Yaxin Liu, Halit Bener Suay, Sonia Chernova, Lisa Torrey and Haitham Bou Ammar. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Neural Computing and Applications, Journal of Machine Learning Research, Journal of Artificial Intelligence Research and Adaptive Behavior.
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.