BPP: The Bayesian Poker Player

The Bayesian Poker Player (BPP) began life as an honours project at Monash in 1993. Since then several honours students have worked on various aspects of the project and some of the work has been written up as research publications. BPP was originally developed to play 5-card stud poker, using Bayesian network technology. In 2006, BPP was converted to play Texas Hold'em Poker, the main online form of poker, and re-written in Python. We have developed a simple GUI interface that allows people to play against BPP online, which is hosted here: <bayesian-intelligence.com...>. This is an ongoing project in which there are still many options for making BPP a better poker player including improving its bluffing strategies and its opponent modelling.

Kevin Korb, Ann Nicholson and Steven Mascaro
Netica .dne format
Korb, K.B., Nicholson, A.E. & Jitnah, N. (1999) Bayesian poker. In Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence, pages 343-350
Games
January 2016
https://abnms.org/bn/144