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