DeepAI
Log In Sign Up

Bayesian Poker

01/23/2013
by   Kevin B. Korb, et al.
0

Poker is ideal for testing automated reasoning under uncertainty. It introduces uncertainty both by physical randomization and by incomplete information about opponents hands.Another source OF uncertainty IS the limited information available TO construct psychological models OF opponents, their tendencies TO bluff, play conservatively, reveal weakness, etc. AND the relation BETWEEN their hand strengths AND betting behaviour. ALL OF these uncertainties must be assessed accurately AND combined effectively FOR ANY reasonable LEVEL OF skill IN the game TO be achieved, since good decision making IS highly sensitive TO those tasks.We describe our Bayesian Poker Program(BPP), which uses a Bayesian network TO model the programs poker hand, the opponents hand AND the opponents playing behaviour conditioned upon the hand, and betting curves which govern play given a probability of winning. The history of play with opponents is used to improve BPPs understanding OF their behaviour.We compare BPP experimentally WITH : a simple RULE - based system; a program which depends exclusively ON hand probabilities(i.e., without opponent modeling); AND WITH human players.BPP has shown itself TO be an effective player against ALL these opponents, barring the better humans.We also sketch out SOME likely ways OF improving play.

READ FULL TEXT

page 1

page 2

page 4

page 6

page 8

09/27/2019

Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning

It is a long-standing goal of artificial intelligence (AI) to be superio...
04/07/2021

ELO System for Skat and Other Games of Chance

Assessing the skill level of players to predict the outcome and to rank ...
11/07/2018

On the Complexity of Reconnaissance Blind Chess

This paper provides a complexity analysis for the game of reconnaissance...
05/22/2021

A systematic review of physical-digital play technology and developmentally relevant child behaviour

New interactive physical-digital play technologies are shaping the way c...
08/15/2021

A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand

The tile-based multiplayer game Mahjong is widely played in Asia and has...
07/27/2014

When Ignorance is Bliss

It is commonly-accepted wisdom that more information is better, and that...
03/03/2019

Competitive Bridge Bidding with Deep Neural Networks

The game of bridge consists of two stages: bidding and playing. While pl...