public void TrainOneSpecificHand()
{
var dealer = new DeterministicDealer();
dealer.HoleCardsPlayer1 = new List <Card> {
new Card(CardSuit.Diamonds, CardValue.Ace), new Card(CardSuit.Clubs, CardValue.Ace)
};
dealer.HoleCardsPlayer2 = new List <Card> {
new Card(CardSuit.Hearts, CardValue.Seven), new Card(CardSuit.Clubs, CardValue.Two)
};
dealer.BoardCards = new List <Card> {
new Card(CardSuit.Diamonds, CardValue.Two),
new Card(CardSuit.Diamonds, CardValue.Three),
new Card(CardSuit.Diamonds, CardValue.Four),
new Card(CardSuit.Spades, CardValue.Jack),
new Card(CardSuit.Spades, CardValue.Queen)
};
trainer = new TexasHoldemTrainer(dealer);
trainer.Train(1);
foreach (var node in trainer.GameNodes)
{
Debug.WriteLine(node.Value);
}
}
private static void train()
{
var dealer = new RandomDealer();
var trainer = new TexasHoldemTrainer(dealer);
int numberOfTrainings = 10000;
int handsPerTraining = 100;
int handsCounter = 0;
int numberOfTotalhands = numberOfTrainings * handsPerTraining;
var trainedTree = loadSnapShot();
if (trainedTree != null)
{
trainer.GameNodes = trainedTree;
}
var stopwatch = new Stopwatch();
for (int i = 0; i < numberOfTrainings; i++)
{
stopwatch.Restart();
trainer.Train(handsPerTraining);
double duration = stopwatch.Elapsed.TotalSeconds;
handsCounter += handsPerTraining;
var msg = string.Format("{0}/{1} hands trained in {2}s. ", handsCounter, numberOfTotalhands, duration);
takeSnapShot(trainer.GameNodes, "cfr-tree.proto");
log(msg);
}
}
