Search Results for author:
Found 1 papers, 0 papers with code
PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model
To improve fine-tuning performance, we conduct prompt engineering on raw data, including filtering useful information, selecting behaviors of players with high win rates, and further processing them into textual instruction using multiple prompt engineering techniques.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
