Hi, I am Oleksandr, CS Masters student from Bonn, Germany. I was reading about cma es and its extensions(which is one of gsoc ideas) and it is really interesting.Found also some additional sources about evolution algorithms in general e.g https://openai.com/blog/evolution-strategies/ https://blog.otoro.net/2017/10/29/visual-evolution-strategies/ Sounds also like the results of evolutional algorithms can be used for some RL problems.I would be interested to work on a proposal for GSOC, if this topic is still free.Currently, the cma es is living in the ensmallen library.If working on this topic, is it a good idea to work towards the implementation of cma-es enhancements in the mlpack package? For example to enable bindings?
Also, I had some other ideas: 1. Create Rust bindings 2. Start mlpack.js, as a ready to use node package 3. Add explicit support for graph neural networks to the ann module along with the core module. Would be happy about your feedback! :) In the meanwhile, I will continue my research on the realizability of these ideas.
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