What are you working on specifically? I've been vaguely following poker research since Libratus, the last paper I've read is ReBeL, has there been any meaningful progress after that?
I was thinking about developing a 5-max poker agent that can play decently (not superhumanly), but it still seems like a kind of uncharted territory, there's Pluribus but limited to fixed stacks, very complex and very computationally demanding to train and I think also during gameplay.
I don't see why a LLM can't learn to play a mixed strategy. A LLM outputs a distribution over all tokens, which is then randomly sampled from.
I was thinking about developing a 5-max poker agent that can play decently (not superhumanly), but it still seems like a kind of uncharted territory, there's Pluribus but limited to fixed stacks, very complex and very computationally demanding to train and I think also during gameplay.
I don't see why a LLM can't learn to play a mixed strategy. A LLM outputs a distribution over all tokens, which is then randomly sampled from.