Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games

  title={Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games},
  author={Darse Billings and Aaron Davidson and Terence Schauenberg and Neil Burch and Michael H. Bowling and Robert C. Holte and Jonathan Schaeffer and Duane Szafron},
  booktitle={Computers and Games},
Building a high-performance poker-playing program is a challenging project. The best program to date, PsOpti, uses game theory to solve a simplified version of the game. Although the program plays reasonably well, it is oblivious to the opponent’s weaknesses and biases. Modeling the opponent to exploit predictability is critical to success at poker. This paper introduces Vexbot, a program that uses a game-tree search algorithm to compute the expected value of each betting option, and does real… CONTINUE READING
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