3 player Texas Hold'em artificial playing agent using a monte carlo simulation algorithm with dynamic opponent modelling.

Features

  • Uses Monte-Carlo Simulation to obtain expected winnings of each possible action in 3 player limit hold'em
  • Uses a weighted combination of static models to construct a dynamic model of each opponent.
  • Utilises the 10 million hand database of played poker hands collated by the University of Alberta Research group.
  • Interfaces with Poker Academy Pro 2

Project Activity

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Additional Project Details

Registered

2011-01-09
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