Marc Lanctot
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 1%
Papers in
-
- Artificial Intelligence in Games 27
- Reinforcement Learning in Robotics 22
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- Sports Analytics and Performance 18
- Co-authors
- Thore Graepel (6 shared papers)David Silver (3 shared papers)Timothy Lillicrap (2 shared papers)Laurent Sifre (2 shared papers)Arthur Guez (2 shared papers)Julian Schrittwieser (3 shared papers)Ioannis Antonoglou (2 shared papers)Demis Hassabis (2 shared papers)
- Journals
- Artificial Intelligence (3 papers)Scientific Reports (1 paper)Science (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)Science Advances (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Marc Lanctot
42 papers receiving 13.0k citations
Marc Lanctot's Hit Papers
Peers
Comparison fields: 5 of 202
- Artificial Intelligence 7.5k
- Health Informatics 137
- Computer Vision and Pattern Recognition 2.0k
- Management Science and Operations Research 992
- Automotive Engineering 907
Countries citing papers authored by Marc Lanctot
This map shows the geographic impact of Marc Lanctot'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 Marc Lanctot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Lanctot more than expected).
Fields of papers citing papers by Marc Lanctot
This network shows the impact of papers produced by Marc Lanctot. 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 Marc Lanctot. The network helps show where Marc Lanctot may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Lanctot, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mastering the game of Go with deep neural networks and tree search Hit paper breakdown → | 2016 | 8961 |
| 2 | A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play Hit paper breakdown → | 2018 | 1882 |
| 3 | Dueling Network Architectures for Deep Reinforcement Learning Hit paper breakdown → | 2015 | 1040 |
| 4 | Deep Q-learning From Demonstrations Hit paper breakdown → | 2018 | 493 |
| 5 | 2018 | 240 | |
| 6 | 2017 | 124 | |
| 7 | 2019 | 104 | |
| 8 | 2009 | 98 | |
| 9 | Fictitious Self-Play in Extensive-Form Games | 2015 | 68 |
| 10 | 2017 | 59 | |
| 11 | 2007 | 45 | |
| 12 | Learning from Demonstrations for Real World Reinforcement Learning | 2017 | 44 |
| 13 | 2016 | 44 | |
| 14 | 2014 | 39 | |
| 15 | 2018 | 29 | |
| 16 | 2012 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2012 | 24 | |
| 19 | 2014 | 23 | |
| 20 | 2016 | 21 |
About Marc Lanctot
Marc Lanctot is a scholar working on Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research, Sociology and Political Science and Safety Research, having authored 47 papers that have together received 13.6k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (27 papers), Reinforcement Learning in Robotics (22 papers), Sports Analytics and Performance (18 papers), Advanced Bandit Algorithms Research (9 papers), Game Theory and Applications (8 papers), Digital Games and Media (6 papers), Experimental Behavioral Economics Studies (5 papers) and Gambling Behavior and Treatments (4 papers). The work is most often cited by research in Artificial Intelligence (7.5k citations), Health Informatics (137 citations), Computer Vision and Pattern Recognition (2.0k citations), Management Science and Operations Research (992 citations) and Automotive Engineering (907 citations). Marc Lanctot has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Thore Graepel, David Silver, Timothy Lillicrap, Laurent Sifre, Arthur Guez, Julian Schrittwieser, Ioannis Antonoglou, Demis Hassabis, Dominik Grewe and George van den Driessche. Their work appears in journals such as Artificial Intelligence, Scientific Reports, Science, Autonomous Agents and Multi-Agent Systems and Science Advances.
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.