The model s goal will be to determine based on a few features whether it will call, raise, check or fold in each street. This is where machine learning becomes useful as it acts as a heuristic. Imparting this wisdom to the bot is not a trivial task at all because there are so many situations of the game to consider. Model Formation To make computers play like humans, it has to estimate the hand of opponents based on its betting patterns. Lastly, there will be no concept of bankroll, however, the winnings and the losses of the bot will be tracked. If the bot is leading out, the bet will be 2/3 of the pot. A common raise made by many players is 3 times the bet made in front of them. Firstly, though this is NL Hold em, the bot s bets will be fixed. To simplify the problem, some limitations to the game are made. The goal is to use this data to create a poker bot. The training data is my hand history that a software has saved from my games in online poker. Poker is a very complicated game and the machine learning techniques used to solve such a problem can be used in other useful areas that require reacting to different situations Problem Definition The goal of this project is to create a bot that plays poker in a profitable manner. Though it isn t strictly legal to use bots to play online poker in multi tables for you, the idea that one can create a bot is very exhilarating, just like it has been for many with the game of chess. This is where an idea of a poker bot that makes quick decisions without the interference of emotions can be a very profitable one. Moreover, one can make a lot of money by playing multiple tables at once online. Due to frustration, many have made the wrong decision. One of the things that is hard to do is controlling emotions. 1 Creating a NL Texas Hold em Bot Introduction Poker is an easy game to learn by very tough to master.

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