Scholar
Antoine Cully
Google Scholar ID: rZtJlPQAAAAJ
Professor of Machine Learning and Robotics at Imperial College London
Citations & Impact
Citations
3,855
H-index
31
i10-index
45
Publications
20
Co-authors
19
list available
Contact
Publications
Resume (English only)
Academic Achievements
- The lab's research has been accepted at GECCO 2021; co-organized the GECCO Workshop - EvoRL; a paper was accepted at the IEEE Symposium on Security and Privacy.
Research Experience
- Research areas include Reinforcement Learning, Evolutionary Algorithms, Deep Neural Networks, Bayesian Optimisation, Unsupervised Learning, and Optimal Control.
Background
- Aims to improve the algorithmic foundations of learning algorithms to increase the versatility, resilience, and autonomy of physical robots in unpredictable environments.
