public void CopyFrom(LearningProbability other)
{
for (int i = 0; i < Mathf.Min(probabilityMap.GetLength(0), other.probabilityMap.GetLength(0)); ++i)
{
for (int j = 0; j < Mathf.Min(probabilityMap.GetLength(1), other.probabilityMap.GetLength(1)); ++j)
{
probabilityMap[i, j].Set(other.probabilityMap[i, j].Get());
}
}
}
public TurnProbability(int remainingTurns)
{
winProbability = new LearningProbability[CardGameLogic.MAX_BID_SCALAR + 1];
foldProbability = new LearningProbability[CardGameLogic.MAX_BID_SCALAR + 1, remainingTurns];
cardsPlayed = 3 - remainingTurns;
for (int bid = 0; bid <= CardGameLogic.MAX_BID_SCALAR; ++bid)
{
winProbability[bid] = new LearningProbability(CardProbability.MaxScore, cardsPlayed * Card.MAX_CARD_SCORE);
for (int turn = 0; turn < remainingTurns; ++turn)
{
foldProbability[bid, turn] = new LearningProbability((turn + cardsPlayed) * Card.MAX_CARD_SCORE, cardsPlayed * Card.MAX_CARD_SCORE);
}
}
}