Marc Lanctot
Marc Lanctot publishes mostly in Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics, on topics such as Reinforcement Learning in Robotics, Artificial Intelligence in Games and Advanced Bandit Algorithms Research.
- World rank
- #28,700 of 1,633,909 ranked researchers
- Rank in Netherlands
- #579 of 23,481
- Works
- 34
- Citations
- 1.5k
- Citations per work
- 43.1
What does Marc Lanctot research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence56% of their works
- 2Management Science and Operations Research25% of their works
- 3Economics and Econometrics14% of their works
- 4Safety Research3% of their works
- 5Sociology and Political Science3% of their works
Research topics
Which keywords describe Marc Lanctot's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Robotics, Monte Carlo Tree Search, Procedural Content Generation, Bandit Optimization and Bayesian Optimization.
- Genetic Programming
- Adversarial Examples
- Machine Learning
- Network Formation
- Prediction Markets
- Bayesian Optimization
- Procedural Content Generation
- Robotics
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Monte Carlo Tree Search
- Bandit Optimization
- Competitive Balance
- Game Theory
- Interpretable Models
- Machine Learning Interpretability
- Classification
- Robustness
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Deep Learning92 topics
- Neural Networks92 topics
- Reinforcement Learning81 topic
- Robotics81 topic
- Monte Carlo Tree Search71 topic
- Procedural Content Generation71 topic
- Bandit Optimization51 topic
- Bayesian Optimization51 topic
- Competitive Balance51 topic
- Prediction Markets51 topic
- Game Theory31 topic
- Network Formation31 topic
- Interpretable Models21 topic
- Machine Learning22 topics
- Machine Learning Interpretability21 topic
- Adversarial Examples11 topic
- Classification11 topic
- Genetic Programming11 topic
- Robustness11 topic
Where does Marc Lanctot work?
Marc Lanctot's main affiliation in the publication record is Maastricht University, Netherlands.
How many publications and citations does Marc Lanctot have?
Science Explorer counts 34 works and 1,467 citations for Marc Lanctot, ranking #28,700 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.