List of Figures

• The original Bayesian Poker network for a single round
• Final round betting curves (fold, call, bet). The horizontal axis is the difference between the probability of winning and $\theta$; the vertical axis is the (unnormalised) probability of the action.
• Bayesian network with arc connecting the final hands of each players allowing for knowledge of one hand to be used in determining the type of the other.
• Cumulative winnings of original BPP against players which are able to represent hand dependence and have refined hand classification.
• Cumulative winnings of original BPP against players with refined action representations.
• Bayesian Decision Network
• Comparitive performances of BPP implementing a decision network.
• Betting curve for folding. The horizontal axis is the difference between the expected utility of passing/calling and folding
• Betting curve for passing and betting. The horizontal axis is the difference between the expected utility of betting/raising and passing/calling