No-Limit Texas Hold'em Poker agents created with evolutionary neural networks

@article{Nicolai2009NoLimitTH,
  title={No-Limit Texas Hold'em Poker agents created with evolutionary neural networks},
  author={Garrett Nicolai and Robert J. Hilderman},
  journal={2009 IEEE Symposium on Computational Intelligence and Games},
  year={2009},
  pages={125-131}
}
In order for computer Poker agents to play the game well, they must analyse their current quality despite imperfect information, predict the likelihood of future game states dependent upon random outcomes, model opponents who are deliberately trying to mislead them, and manage finances to improve their current condition. This leads to a game space that is large compared to other classic games such as Chess and Backgammon. Evolutionary methods have been shown to find relatively good results in… CONTINUE READING