Scholar
Manon Flageat
Google Scholar ID: W9Pm_KYAAAAJ
Teaching Scholar, Imperial College London
Citations & Impact
Citations
252
H-index
9
i10-index
7
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Three papers accepted at GECCO 2021; Co-Organisation of GECCO Workshop - EvoRL; Paper accepted at the IEEE Symposium on Security and Privacy.
Research Experience
- Head of the Adaptive & Intelligent Robotics Lab, which focuses on research across multiple areas including Reinforcement Learning, Evolutionary Algorithms, Deep Neural Networks, Bayesian Optimisation, Unsupervised Learning, and Optimal Control.
Background
- Research interests include improving the algorithmic foundations of learning algorithms to increase the versatility, resilience, and autonomy of physical robots. Aims to develop learning algorithms that enable robots to autonomously adapt to new and unforeseen situations, such as a new environment, a new task, or even mechanical damage.
Miscellany
- Welcomed a new Post-Doc, Simón, to the AIRL-Lab.
Co-authors