public void CreateRandomBrainPressed()
{
_brain = new AINeuralPlayer2();
_prevBrain = (AINeuralPlayer2)_brain.Clone();
_trainingsCount = 0;
Debug.Log("Created ai");
}
public override Player Clone()
{
AINeuralPlayer2 clone = new AINeuralPlayer2();
clone._whereToGoDecider = _whereToGoDecider.Clone();
clone._getUsedHumansDecider = _getUsedHumansDecider.Clone();
return(clone);
}
public void LoadTraining()
{
using (Stream stream = File.Open(FilePath, FileMode.Open))
{
var binaryFormatter = new System.Runtime.Serialization.Formatters.Binary.BinaryFormatter();
_trainingModels = (List <TrainingDecisionModel>)binaryFormatter.Deserialize(stream);
_brain = (AINeuralPlayer2)binaryFormatter.Deserialize(stream);
_prevBrain = (AINeuralPlayer2)_brain.Clone();
}
UpdateView();
InitTrainers();
Debug.Log("Training loaded");
}
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;
}
public void OnRevertToPrevPressed()
{
_brain = (AINeuralPlayer2)_prevBrain.Clone();
UpdateView();
}