The graphs shows the profile author's results at the current testing time period with their own buyin and/or table selecting strategy and/or specific stakes, poker room types, etc. Please note that a profile author's graph result may will not guarantee you the same results! In poker everything is case and time sensitive (unstable).
Opponent model is then used in standard Expectiminimax or Miximax search through game tree, where opponent range is also estimated using Bayesian inference as hand progresses. After each played hand bot updates the model using Bayesian inference. Initial (prior) playing strategy of the opponent is estimated from hand histories from internet play (2 million hands used). Playing logic is based on Bayesian opponent modeling, so it can figure out approximate playing style of opponent from only a few hands. NET core build chain for Linux (Tested in Ubuntu 16.04). Visual Studio 2017 is required to build and run the program on Windows.
Decision making logic is in C++, while Acpc client and program to play against the bot is written in C#. G5 is poker playing program (bot) which won first place at Annual Computer Poker Competition 2018 in Six-Player No-Limit Texas Hold'em category and second place at Acpc 2017 in Heads-up No-Limit Texas Hold'em category. AI algorithm for playing texas holdem poker Introduction
0 kommentar(er)
