public NeuralNetworkSaveData Load(bool isSupervised)
{
if (isSupervised)
{
if (File.Exists(Application.persistentDataPath + "/FlappyBirdsSupervised.txt"))
{
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Open(Application.persistentDataPath + "/FlappyBirdsSupervised.txt", FileMode.Open);
NeuralNetworkSaveData data2 = (NeuralNetworkSaveData)bf.Deserialize(file);
file.Close();
return(data2);
}
}
else
{
if (File.Exists(Application.persistentDataPath + "/FlappyBirdsReinforced.txt"))
{
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Open(Application.persistentDataPath + "/FlappyBirdsReinforced.txt", FileMode.Open);
NeuralNetworkSaveData data2 = (NeuralNetworkSaveData)bf.Deserialize(file);
file.Close();
return(data2);
}
}
return(null);
}
void Start()
{
player = GameObject.FindGameObjectWithTag("Player");
gameController = GameObject.FindGameObjectWithTag("GameController").GetComponent <GameController> ();
bottomBorder = GameObject.FindGameObjectWithTag("BottomBorder");
if (playMode == PlayMode.SupervisedTesting || playMode == PlayMode.SupervisedTraining)
{
data = Load(true);
if (data == null)
{
nnSupervised = new NeuralNetwork(3, 3, 1);
}
else
{
nnSupervised = new NeuralNetwork(data);
}
} /*else if (playMode == PlayMode.ReinforcementTraining || playMode == PlayMode.ReinforcementTesting) {
* data = Load (false);
* if (data == null) {
* nnReinforced = new NeuralNetwork (3, 3, 1);
* } else {
* nnReinforced = new NeuralNetwork (data);
* }
* }*/
}
public void Save(bool isSupervised)
{
if (isSupervised)
{
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Create(Application.persistentDataPath + "/FlappyBirdsSupervised.txt");
NeuralNetworkSaveData data2;
if (nnSupervised != null)
{
data2 = new NeuralNetworkSaveData(nnSupervised);
bf.Serialize(file, data2);
}
file.Close();
}
else
{
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Create(Application.persistentDataPath + "/FlappyBirdsReinforced.txt");
NeuralNetworkSaveData data2;
if (nnReinforced != null)
{
data2 = new NeuralNetworkSaveData(nnReinforced);
bf.Serialize(file, data2);
}
file.Close();
}
}
void Start()
{
myRigidbody = GetComponent <Rigidbody> ();
nn = new NeuralNetwork(3, 3, 2);
bottomBorder = GameObject.FindGameObjectWithTag("BottomBorder");
gameController = GameObject.FindGameObjectWithTag("GameController").GetComponent <GameController> ();
data = new NeuralNetworkSaveData(nn);
destroyPlayer += DestroySelf;
}
public NeuralNetwork(NeuralNetworkSaveData data)
{
inputNodes = data.inputNodes;
hiddenNodes = data.hiddenNodes;
outputNodes = data.outputNodes;
weightsInputHidden = Matrix.FromArrayToMatrix(data.weightsInputHidden, hiddenNodes, inputNodes);
weightsHiddenOutput = Matrix.FromArrayToMatrix(data.weightsHiddenOutput, outputNodes, hiddenNodes);
hiddenBiases = Matrix.FromArrayToMatrix(data.hiddenBiases);
outputBiases = Matrix.FromArrayToMatrix(data.outputBiases);
}
