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Our initial release! Check us out on pyribs.org

pyribs is now on Conda thx to Conda Forge! Get the full dist (same as "pip install ribs[all]") with: conda install -c conda-forge pyribs For the base dist (same as "pip install ribs"): conda install -c conda-forge pyribs-base See our blog for more info pyribs.org/blog/conda/

Announcing pyribs 0.3.1! This is a patch release. In particular, we have added tests for the SlidingBoundariesArchive and believe it is ready for more rigorous use.

An exciting extension of pyribs that incorporates gradient information! Definitely check it out.

We are searching for feature requests for pyribs! If you have an idea to improve the library, fill out an issue on our GitHub: github.com/icaros-usc/pyr…

We are excited to announce the release of pyribs v0.5.0! Pyribs v0.5.0 brings a slew of new features, tutorials, and improvements! Installation: pip install ribs (our Conda package will be ready in a week or two) Website: pyribs.org GitHub: github.com/icaros-usc/pyr…

Daily pyribs tweet #1: My favorite part of the lunar lander tutorial is how fast it became. The first version took 2 hrs to run, but by reducing the CMA-ME iterations and integrating Dask, it now runs in ~20 min! Fast runtime is important for a tutorial that all users start with

Pyribs v0.8.0 is now available! pyribs v0.8.0 adds support for new algorithms (Novelty Search, BOP-Elites, and Density Descent Search), while making it easier than ever to design new ones 🧠 Here are the highlights 🧵