Olivier Teytaud
Olivier Teytaud publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Artificial Intelligence in Games, Advanced Multi-Objective Optimization Algorithms and Advanced Bandit Algorithms Research.
- World rank
- #526,663 of 1,633,909 ranked researchers
- Rank in France
- #31,888 of 96,116
- Works
- 100
- Citations
- 278
- Citations per work
- 2.8
What does Olivier Teytaud research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence38% of their works
- 2Computational Theory and Mathematics14% of their works
- 3Management Science and Operations Research9% of their works
- 4Computer Vision and Pattern Recognition7% of their works
- 5Computer Networks and Communications4% of their works
- 6Economics and Econometrics3% of their works
Research topics
- Artificial Intelligence in Games
- Advanced Multi-Objective Optimization Algorithms
- Advanced Bandit Algorithms Research
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Sports Analytics and Performance
- Computability, Logic, AI Algorithms
Which keywords describe Olivier Teytaud's research?
The keywords of their largest research topics: Evolutionary Algorithms, Bayesian Optimization, Particle Swarm Optimization, Multiobjective Optimization, Monte Carlo Tree Search, Procedural Content Generation, Genetic Algorithm and Surrogate Modeling.
- Computability
- Prediction Markets
- Machine Learning
- Reinforcement Learning
- Differential Evolution
- Contextual Bandits
- Surrogate Modeling
- Procedural Content Generation
- Multiobjective Optimization
- Bayesian Optimization
- Evolutionary Algorithms
- Particle Swarm Optimization
- Monte Carlo Tree Search
- Genetic Algorithm
- Bandit Optimization
- Ant Colony Optimization
- Deep Learning
- Genetic Programming
- Competitive Balance
- Algorithmic Information Theory
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 20 words, with their numbers
- Evolutionary Algorithms253 topics
- Bayesian Optimization222 topics
- Particle Swarm Optimization202 topics
- Multiobjective Optimization172 topics
- Monte Carlo Tree Search141 topic
- Procedural Content Generation141 topic
- Genetic Algorithm121 topic
- Surrogate Modeling121 topic
- Bandit Optimization101 topic
- Contextual Bandits101 topic
- Ant Colony Optimization81 topic
- Differential Evolution81 topic
- Deep Learning71 topic
- Reinforcement Learning71 topic
- Genetic Programming51 topic
- Machine Learning51 topic
- Competitive Balance41 topic
- Prediction Markets41 topic
- Algorithmic Information Theory31 topic
- Computability31 topic
Where does Olivier Teytaud work?
Olivier Teytaud's main affiliation in the publication record is Laboratoire de Recherche en Informatique, France.
How many publications and citations does Olivier Teytaud have?
Science Explorer counts 100 works and 278 citations for Olivier Teytaud, ranking #526,663 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.
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