Hello!
My name is Igor, I'm a student at Moscow State University. It's basically my first time trying to work on an open-source project and I might be asking some dumb questions. I'm very interested in the idea of implementing NEAT algorithm, so I wrote a proposal and I ask you to give some feedback on it (https://docs.google.com/document/d/13O_bMCSO1UhqN8kl415pKAu28h5YtolxjKu6PbGxlLQ/edit?usp=sharing). But at the same time a have a concern about whole project.
I have found a little problem. I was looking through the optimization API and it doesn't really add up with how I understand that NEAT works. As I understand, NEAT only optimizes object functions which take Neural Networks as inputs (and finds the Network, which gives best result on that function). This doesn't correspond with optimization API, as it doesn't seem to make any limitations on function input. Wouldn't this issue make it impossible to implement NEAT with those requirements?
We could solve this problem by creating new FunctionType, but I'm not sure it's the preffered solution.
[I assume that I might not understand completely how parameters for functions work in optimization API and maybe we can actually solve this problem with given resourses (but I'm not sure yet how) and I probably don't yet have complete understanding of how NEAT works, so this problem might not even be real.]
Igor.
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