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Artificial Neural Networks And Texas Hold’em

Artificial Neural Networks And Texas Hold’em. ECE 539 Final Project December 19, 2003 Andy Schultz. Introduction. Poker interest has grown rapidly Online Poker Texas Hold’em ESPN World Series of Poker (WSOP) Predict Opponent’s Move ANN Betting patterns. A Quick Lesson in Texas Hold’em.

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Artificial Neural Networks And Texas Hold’em

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  1. Artificial Neural NetworksAndTexas Hold’em ECE 539 Final Project December 19, 2003 Andy Schultz

  2. Introduction • Poker interest has grown rapidly • Online Poker • Texas Hold’em • ESPN • World Series of Poker (WSOP) • Predict Opponent’s Move • ANN • Betting patterns

  3. A Quick Lesson in Texas Hold’em • Easy to learn but difficult to master • Game Play • Two Hole Cards • Flop, Turn, River • Community Cards • Best five-card hand • Lots of information • Cards, betting patterns, hand strength

  4. Artificial Neural Network and Hold’em • Decisions a hold’em player makes • The size of the pot • Number of bets to call • Number of opponents in the pot • Cards on the board • Which round of betting it is • What happened on the previous round of betting

  5. Work Performed • Data Collection • Playing on Party Poker • 33 usable hands • Categories for the ANN • Multiple/Single rows per hand in database • Data Setup • Organizing • Normalization

  6. Setting up the Network and Results • Finding the best results • Training Crate • 90% • Testing Crate • 67-75%

  7. Conclusion • Good way to predict opponents • 75% very useful • Pot-odds • Ways to improve • More hands • More variables • New features • Overall and recent betting patterns

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