General Info #
Project Description #
Group project from CS 7643 Deep Learning taught at Georgia Tech (online section).
The goal of the project is to use transformers along with attention mechanisms to build a model in Pytorch, for making bet / fold decisions in No-Limit Texas Hold’em (NLHE) River situations based on action sequences and card states, derived from real poker datasets, as well as computed game-theoretic optimal (GTO) values.
Contributors #
Andrew Yin
yindrew@gatech.edu
Thomas Algenio
talgenio3@gatech.edu
Samuel Wade Wang
swang3068@gatech.edu
Related Links #
High-level Model Architecture #
