Question about training small agents in minimal game environments

Hi — I was reading the README and noticed your focus on keeping the environment minimal.

I’ve been thinking about whether cleaner, more symmetric abstract games might train very small agents more efficiently than chess-like benchmarks.

Curious if this is something you’ve considered or observed in your experiments.