Now that I have the opportunity, let me our quality-diversity algorithm to Mastadon. It's based on @janhjensen 's generative algorithm. We avoid stagnation issues, and illuminates opportunities across chemical space, and outperforms approaches!

Code: github.com/Jonas-Verhellen/Arg

Paper: pubs.rsc.org/en/content/articl

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@jverhell really nice, _especially_ because it isn't just a statistical model nobody understands (aka. deep learning) but a sound stochastic algorithm. is the implementation parallelized like described in the paper?

@janhjensen

@bonifartius @janhjensen Yes, the fitness evaluation and description calculations are parallelised.

@jverhell nice! i think there is much to gain with specialized parallel algorithms instead of using parallelism for unspecific deep learning models.
@janhjensen

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