AlphaEvolve and similar systems based on map-elites + DL/LLM + RL appears to be one of the promising paths.
Setting up the map-elites dimensions may still be problem-specific but this could be learnt unsupervisedly, at least partially.
The way I see LLMs is as a search-spqce within tokens that manipulate broad concepts within a complex and not so smooth manifold. These concepts can be refined within other spaces (pixel -space, physical spaces, ...)
Setting up the map-elites dimensions may still be problem-specific but this could be learnt unsupervisedly, at least partially.
The way I see LLMs is as a search-spqce within tokens that manipulate broad concepts within a complex and not so smooth manifold. These concepts can be refined within other spaces (pixel -space, physical spaces, ...)