Submitted by: Submitted by pager101
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Words: 344
Pages: 2
Category: Science and Technology
Date Submitted: 02/27/2011 09:37 AM
Simulating a Poker Player’s decisions during a Poker game of No Limit Texas Holdem
The goal of the simulation is to predict a poker player’s decision during a game of poker. The decision of a player is limited to: fold (throw the hand away), call (call the bet by the other player), raise (raise the bet and by how much). There are many variables that will impact the decision of the poker player. Some of these variables will include: how many players are playing at the table, the blind and ante levels(how much each player has to automatically put in the pot before betting begins), the position of the player relative to the blinds at the table, whether the player is faced with a raise and how much the raise is, the pot odds(how big the pot is and the probability of winning), the experience of the poker player, the aggressiveness and playing style of other players at the table, whether the poker player has made a hand or is on a draw(waiting for a card to make a poker hand), the psychology of the player and his emotions during a hand.
The variables that are listed are obviously very limited compared to the actual number of variables that go into a decision of a poker player.
This type of simulation would not work with a linear regression model. The regression model predicts the value of a random variable using a linear model. In this type of simulation, we are not predicting the value of a random variable. We are predicting whether the player will fold, call, or raise. The decision is limited to one of these choices. However, the model will simulate whether the player will raise and then it has to predict how much the raise will be. If it predicts the player will fold or call, the simulation is complete for that particular decision by the player.
The data can be gathered by poker websites that have statistics on players’ decisions from major poker tournaments.