Tabular CFR can be approximated with a neural network, as Noam Brown (1st author of Pluribus) and co-authors show in follow-up work: https://arxiv.org/abs/1811.00164
But you're comparing apples to oranges a bit asking if transformers can replace CFR. Transformers are a neural net architecture. You could of course encode poker stuff in text and feed that to a transformer which predicts the right move to play. But how do you train that network? CFR is a self-play learning algorithm (sort of like Alphago's MCTS) which learns good policies.
IronRabbit69 t1_j84njph wrote
Reply to [D] Transformers for poker bot by lmtog
Tabular CFR can be approximated with a neural network, as Noam Brown (1st author of Pluribus) and co-authors show in follow-up work: https://arxiv.org/abs/1811.00164
But you're comparing apples to oranges a bit asking if transformers can replace CFR. Transformers are a neural net architecture. You could of course encode poker stuff in text and feed that to a transformer which predicts the right move to play. But how do you train that network? CFR is a self-play learning algorithm (sort of like Alphago's MCTS) which learns good policies.