private void ImproveFromLastGeneration()
{
NuralData bestData = m_birds[0].data;
float bestTime = 0;
for (int i = 0; i < birdCount; i++)
{
if (m_birdResults[i] > bestTime)
{
bestData = m_birds[i].data;
bestTime = m_birdResults[i];
}
Destroy(m_birds[i].gameObject);
}
SavingSystem.SaveData(bestData, string.Format("generation-{0}.json", m_generationCount));
m_birds[0] = Instantiate <NuralControlBird>(birdPrefab);
m_birds[0].data = bestData;
for (int i = 1; i < birdCount; i++)
{
m_birds[i] = Instantiate <NuralControlBird>(birdPrefab);
m_birds[i].data = EvolveFromBaseData(bestData);
}
}
void Update()
{
Transform upGround = NuralGameControl.ins.cloestGround.transform.GetChild(0);
Transform downGround = NuralGameControl.ins.cloestGround.transform.GetChild(1);
float[] inputs = new float[] {
transform.position.x,
transform.position.y,
rigidbody2D.velocity.y,
upGround.position.x,
upGround.position.y,
downGround.position.y,
};
// float[] inputs = new float[] {
// transform.position.y,
// rigidbody2D.velocity.y,
// upGround.position.x - transform.position.x,
// downGround.position.y,
// upGround.position.y - downGround.position.y,
// };
float jump = NuralData.Proccess(data, inputs);
if (jump > 0)
{
Jump();
}
}
static public float Proccess(NuralData data, float[] inputs)
{
float[,] metricInputs = new float[1, inputs.Length];
for (int i = 0; i < inputs.Length; i++)
{
metricInputs[0, i] = inputs[i];
}
return(Math.Matrices.Sum(Math.Matrices.DotProduct(metricInputs, data.weights)) + data.bias);
}
public static void Test()
{
NuralData data = NuralData.Random(3, 3);
DebugPrint(data.weights);
SavingSystem.SaveData(data, "test.json");
data = SavingSystem.GetData("test.json");
DebugPrint(data.weights);
}
static public NuralData Add(NuralData data1, NuralData data2)
{
if (data1.weights.GetLength(0) != data2.weights.GetLongLength(0))
{
throw new System.ArgumentException("");
}
if (data1.weights.GetLength(1) != data2.weights.GetLongLength(1))
{
throw new System.ArgumentException("");
}
return(new NuralData(Math.Matrices.Add(data1.weights, data2.weights), data1.bias + data2.bias));
}
public void PrepareNewGeneration()
{
if (m_birds != null)
{
ImproveFromLastGeneration();
}
else
{
m_birds = new NuralControlBird[birdCount];
if (preloadNuralData != "")
{
NuralData preloadData = SavingSystem.GetData(preloadNuralData);
m_birds[0] = Instantiate <NuralControlBird>(birdPrefab);
m_birds[0].data = preloadData;
for (int i = 1; i < birdCount; i++)
{
m_birds[i] = Instantiate <NuralControlBird>(birdPrefab);
m_birds[i].data = EvolveFromBaseData(preloadData);
}
}
else
{
for (int i = 0; i < birdCount; i++)
{
m_birds[i] = Instantiate <NuralControlBird>(birdPrefab);
m_birds[i].data = NuralData.Random(6, 2);
}
}
}
m_generationCount += 1;
generationCountText.text = m_generationCount.ToString();
}
private NuralData EvolveFromBaseData(NuralData data)
{
return(NuralData.Add(data, NuralData.Random(6, 2, weightRange: evolveVariant, biasRange: evolveVariant)));
}
