Monash-BPP
From PokerAI
Monash-BPP is developed by Korb et al from Monash University. It uses Bayesian reasoning to adjust its play to suit its opponents.
The Monash Bayesian poker project was started by Kevin Korb in 1993. Since then 5 honours students have worked on various aspects of the project and some of the work has been written up as research publications (see the website for honours projects and online versions of papers).
The Bayesian poker player (BPP) was originally developed to play 5-card stud poker, using Bayesian network technology. Most recently, BPP has been converted to play Texas Hold'em Poker, the main online form of poker, and re-written in python. BPP has been entered in the inaugural world automated poker playing competition at the main American Artificial Intelligence conference AAAI 2006. A simple GUI interface is also available that allows people to play against BPP via the internet.
The History of Monash BPP
Started with Kevin Korb in 1993 (5 card stud).
- Nathalie Jitnah, 1993. Bayesian Poker (the basic BN)
- Scott Thomson, 1994. Bayesian Poker (some improvements)
- Aidan Doyle, 1995. Web interface. Int. Conf on Uncertainty in AI, 1999. K.B. Korb, A.E. Nicholson and N. Jitnah (1999) Bayesian Poker.
- Jason Carlton, 2000. Extended to decision networks.
- Darren Boulton, 2002-03. Extended to Texas Hold’em Poker. Improved bluffing and opponent modelling 2006
- Inauguaral Bot Poker competition, Conference of the American Artificial Intelligence Association. (3rd)
- New Web Interface (Steven Mascaro), demo at Open Day (this Sunday!).
See also
References
- Kevin Korb, Ann Nicholson, and Nathalie Jitnah. Bayesian poker. In Uncertainty in Artificial Intelligence, 1999 [1]
- Ann Nicholson, Kevin Korb and D. Boulton. Using Bayesian Networks to Play Texas Hold'em Poker, 2006 [2]
Links
- Monash BPP Home page
