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Imperial College London
- London
Highlights
- Pro
QD
Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
Notebook for the Bayesian Optimization (quick) tutorial
Accelerated Quality-Diversity
map elites python reference implementation
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
A Python implementation of global optimization with gaussian processes.
Meta-repo for the code of Cully et. al., 2015
Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.
Repository hosting the code associated with "Unsupervised Behaviour Discovery with Quality-Diversity Optimisation"
Code for Evolving Gaits for Damage Control in a Hexapod Robot (Mailer et al., GECCO 2021)