Fast convergence of Duelist Algorithm

Paper : https://arxiv.org/ftp/arxiv/papers/1512/1512.00708.pdf
Various researchers ( https://arxiv.org/pdf/1712.06567.pdf ), DeepMind (https://deepmind.com/blog/population-based-training-neural-networks/ ) and OpenAI ( https://arxiv.org/pdf/1703.03864.pdf ) have highlighted the applicability of evolutionary methods (especially genetic algorithms) on training neural networks. The main reason is because evolutionary-based training can be easily parallelized and is highly-scalable. However, if we have a more efficient evolutionary algorithm, it is most probable that better performing neural networks can be trained. Can duelist algorithm speed up evolutionary-based training? Can anyone test it?

Python implementation of Duelist Algorithm: https://github.com/tsyet12/Duelist-Algorithm-Python