[eclark]

> Why wouldn't something like an RL environment allow them to specialize in poker playing, gaining those skills as necessary to increase score in that environment?

I think an RL environment is needed to solve poker with an ML model. I also think that like chess, you need the model to do some approximate work. General-purpose LLMs trained on text corpus are bad at math, bad at accuracy, and struggle to stay on task while exploring.

So a purpose built model with a purpose built exploring harness is likely needed. I've built the basis of an RL like environment, and the basis of learning agents in rust for poker. Next steps to come.