Some more interesting approaches in the same space:

- https://github.com/openai/evolution-strategies-starter

- https://cloud.google.com/blog/topics/developers-practitioner...

And perhaps most close:

- https://weightagnostic.github.io/

Which also showed that you can make NNs weight agnostic and just let the architecture evolve using a GA.

Even though these approaches are cool and NEAT even is somewhat easier to implement than getting started with RL (at least that is what based on so many AI Youtubers starting with NEAT first) they didn't ever seem to fully take off. Although knowing about metaheuristics is still a good tool to know IMO.