public void CreateRandomAI()
{
_rand = new System.Random();
_network = new NeuralDecisionNetwork(81, 16, new int[2] {
50, 30
});
Debug.Log("created");
_loopsCountLabel.text = _loopsCount.ToString();
}
public NeuralDecisionNetwork Clone()
{
NeuralDecisionNetwork clone = new NeuralDecisionNetwork(InputLength, OutputLength, new int[1] {
1
});
clone._networks.Clear();
for (int i = 0; i < _networks.Count; i++)
{
clone._networks.Add(_networks [i].Clone());
}
return(clone);
}
private float GetError()
{
NeuralDecisionNetwork decider = _decider.Clone();
int successes = 0;
for (int i = 0; i < _trainingModels.Count; i++)
{
if (_trainingModels [i].Output == decider.Think(_trainingModels [i].Inputs, _trainingModels [i].Options))
{
successes++;
}
}
return((_trainingModels.Count - successes) / (float)_trainingModels.Count);
}
public void Init(DecisionType type, List <TrainingDecisionModel> trainingModels, AINeuralPlayer2 player)
{
_trainingModels = new List <TrainingDecisionModel> ();
foreach (var model in trainingModels)
{
if (model.Type == type && model.RewardPercent > 0.5f)
{
_trainingModels.Add(model);
}
}
_trainingsDataSize.text = _trainingModels.Count.ToString();
_decider = player.GetChooserDecider(type);
_trainingsCount = 0;
}
private int GetDecisionInd(DecisionType type, Game game, PlayerModel player, List <int> randoms, int points, Resource receivedRecource, WhereToGo whereToGo)
{
List <int> optionInds = AINeuralPlayer.GetOptionInds(type, game, _model, randoms, points, receivedRecource, whereToGo);
int[] inputs = AINeuralPlayer.GetInputs(type, game, _model, receivedRecource, whereToGo);
double[] inputsDouble = new double[inputs.Length];
for (int i = 0; i < inputs.Length; i++)
{
inputsDouble [i] = inputs [i];
}
NeuralDecisionNetwork chooser = GetChooserDecider(type);
int decisionInd = chooser.Think(inputs, optionInds);
return(decisionInd);
}
private void InitGetUsedHumans()
{
_getUsedHumansDecider = new NeuralDecisionNetwork(9, 10, new int[2] {
6, 6
});
}
private void InitWhereToGo()
{
_whereToGoDecider = new NeuralDecisionNetwork(81, 16, new int[2] {
50, 30
});
}
