My DeepMind internship project paper ‘Discovering Attention-Based Genetic Algorithms via Meta-Black-Box-Optimization’ got accepted as a full paper at GECCO 2023. We parametrize the set operations of selection, mutation rate adaptation & sampling in GAs via a small attention layer and meta-learn the weights on a task distribution. The resulting learned GA outperforms several baselines! The preprint can be found here.
Furthermore, the evosax paper write-up got accepted as a poster paper. Very grateful to all reviewers and the open source community feedback.