Multi-Objective Quality-Diversity for Crystal Structure Prediction

1 code implementation • 25 Mar 2024 • Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully

This approach overlooks other potentially interesting materials that lie in neighbouring local minima and have different material properties such as conductivity or resistance to deformation.

Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning

no code implementations • 24 Apr 2023 • Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully

This method uses a dynamics model, learned from interactions between the robot and the environment, to predict the robot's behaviour and improve sample efficiency.

Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration

1 code implementation • 24 Feb 2023 • Hannah Janmohamed, Thomas Pierrot, Antoine Cully

We show that MOME-PGX is between 4. 3 and 42 times more data-efficient than MOME and doubles the performance of MOME, NSGA-II and SPEA2 in challenging environments.

Evolutionary Algorithms