/*
* since the training is in a couroutine I found that the best way to replicate the
* results were to put this in one as well
*/
private IEnumerator PlayAI()
{
while (!isDead)
{
//NeuralOutput contains all sort of information but it's mainly ment for getting the output (jump or not)
NeuralOutput nO = Call();
TryJump(nO.output[0]);
yield return(null);
}
}
private void Update()
{
if (isDead)
{
return;
}
//training
if (Input.GetButtonDown("Escape"))
{
//this is because of my network, I can't easily disable training yet
SceneManager.LoadScene("FlappyMenu", LoadSceneMode.Single);
return;
}
if (_PlayType == PlayType.AITraining)
{
if (Input.GetButtonDown("Jump")) //saving
{
Save(saveData);
Debug.Log("Saved!");
}
nO = Call();
generationData.text = "Generation " + //updating UI information when training
nO.generation + " " +
(int)nO.progression + "%";
if (nO.currentlyTrainedNetworkIndex == 0)
{
generationData.text += " (Best of generation)";
}
Train(); //enable continuation of the training
}
//player input
if (_PlayType == PlayType.Player)
{
if (Input.GetButtonDown("Jump"))
{
TryJump(1);
}
}
}
private void Update()
{
NeuralOutput nO = Call();
if (train)
{
Train();
if (lastGen < nO.generation)
{
Save(saveData);
lastGen++;
print("Generation score: " + nO.network.score);
}
}
else if (updateTurns < maxTurns)
{
updateTurns++;
Move(nO.output);
visitedPoints.Add(new Vector2(xPos, yPos));
}
}
private void Update()
{
if (train)
{
Train();
}
NeuralOutput nO = Call();
if (train)
{
if (oldGeneration < nO.generation)
{
print("Generation: " + nO.generation + ", score: " + nO.network.score + "/" + maxScore);
oldGeneration++;
Reset(transform);
Save(saveData);
return;
}
}
Move(nO.output, transform);
}
public Creature Live(ICollection <Food> foodSupply)
{
if (IsDeath())
{
GetComponent <SpriteRenderer>().enabled = false;
return(this);
}
Life -= LifeCost * Time.deltaTime;
if (IsDeath())
{
Fitness -= 10;
}
var closestFood = GetClosestFood(foodSupply);
// could be that food supply is empty or out of reach
if (closestFood == null)
{
// Debug.Log("no food found o.O");
return(this);
}
if (transform.position.Distance(closestFood) < 0.3)
{
Life += 50;
Fitness += 10;
closestFood.SpawnIn(Bounds);
}
Input.Values = new double[4];
var leftSensor = transform.position.ExtendedPoint(Angle - 45 + 90, .5f);
var rightSensor = transform.position.ExtendedPoint(Angle + 45 + 90, .5f);
if (ShowAntenna)
{
Debug.DrawLine(transform.position, leftSensor, Color.blue);
Debug.DrawLine(transform.position, rightSensor, Color.red);
}
var closestFoodLeft = leftSensor.Distance(closestFood);
var closestFoodRight = rightSensor.Distance(closestFood);
if (closestFoodLeft > closestFoodRight)
{
Input.Values[0] = closestFoodLeft;
Input.Values[1] = -closestFoodRight;
}
else
{
Input.Values[0] = -closestFoodLeft;
Input.Values[1] = closestFoodRight;
}
Input.Values[0] /= Bounds.extents.x;
Input.Values[1] /= Bounds.extents.y;
Output = Brain.Think(Input);
var angle = (float)Output.Values[0];
// Angle += angle*2
if (angle <= 0.5)
{
Angle -= (1 - angle) * 2;
if (ShowBrainSuggestions)
{
Debug.DrawLine(transform.position, leftSensor, Color.blue);
}
}
else
{
Angle += angle * 2;
if (ShowBrainSuggestions)
{
Debug.DrawLine(transform.position, rightSensor, Color.red);
}
}
if (Output.Values[0] > Output.Values[1])
{
Angle -= (float)Output.Values[0];
if (ShowBrainSuggestions)
{
Debug.DrawLine(transform.position, leftSensor, Color.blue);
}
}
else
{
Angle += (float)Output.Values[1];
if (ShowBrainSuggestions)
{
Debug.DrawLine(transform.position, rightSensor, Color.red);
}
}
// rotate
transform.rotation = Quaternion.Euler(new Vector3(0, 0, Angle));
// draw speed
var speed = (float)Math.Abs(Output.Values[1]) * 5 * Time.deltaTime;
if (ShowBrainSuggestions)
{
var start = transform.position;
var end = start.ExtendedPoint(Angle + 90, speed * 10f);
Debug.DrawLine(start, end, Color.black);
}
// move
previousSpeed = speed;
transform.position += transform.up * (speed);
return(this);
}
