Corpus ID: 18139600

Estimating the Probability of Winning for Texas Hold’em Poker Agents

@inproceedings{Tefilo2011EstimatingTP,
  title={Estimating the Probability of Winning for Texas Hold’em Poker Agents},
  author={L. Te{\'o}filo},
  year={2011}
}
  • L. Teófilo
  • Published 2011
  • The development of an autonomous agent that plays Poker at human level is a very difficult task since the agent has to deal with problems like the existence of hidden information, deception and risk management. To solve these problems, Poker agents use opponent modeling to predict the opponents next move and thereby determine its next action. In this paper are described several methods to measure the risk of playing a certain hand in a given round of the game. First, we discuss the game of… CONTINUE READING
    3 Citations

    Figures and Tables from this paper.

    A simulation system to support computer poker research
    • 3
    • PDF
    Approximating Poker Probabilities with Deep Learning
    • B. Silva
    • Computer Science, Mathematics
    • ArXiv
    • 2018
    • 1
    • PDF
    Efficient storage, retrieval and analysis of poker hands: An adaptive data framework
    • 1
    • PDF

    References

    SHOWING 1-9 OF 9 REFERENCES
    The challenge of poker
    • 301
    • PDF
    Opponent Modeling in Poker
    • 174
    • PDF
    An Experimental Approach to Online Opponent Modeling in Texas Hold'em Poker
    • 13
    Algorithms and assessment in computer poker
    • 60
    • PDF
    The Monte Carlo Method
    • 1,325
    The Theory of Poker: A Professional Poker Player Teaches You How to Think Like One
    • Two Plus Two,
    • 2002
    Coding the Whell: Poker Hand Evaluator Roundup
    • Paul Senzee on Software, Game Development and Technology
    • 2006
    Poker for Programmers: Poker Algorithms and Tools for the C# Programmer
    • 2006
    The Theory of Poker: A Professional Poker Player Teaches You How to Think Like One: Two Plus Two
    • 2002