private void Awake()
{
instance = this;
thisNet = new NeuralNetwork.NeuralNet(4, 3, 1);
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 1.0, 1.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 0.0, 1.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 1.0, 0.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 0.0, 0.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 1.0, 1.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 0.0, 1.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 1.0, 0.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 0.0, 0.0, 0.5 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 1.0, 1.0, 0.1 }, new double[] { 0.1 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 1.0, 0.0, 0.1 }, new double[] { 0.1 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 0.5, 0.0, 0.1 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 0.5, 1.0, 0.1 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 1.0, 1.0, 0.1 }, new double[] { 0.1 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 1.0, 0.0, 0.1 }, new double[] { 0.1 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 0.5, 0.0, 0.1 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 0.5, 1.0, 0.1 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 1.0, 1.0, 0.9 }, new double[] { 0.9 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 0.0, 1.0, 0.9 }, new double[] { 0.9 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 1.0, 0.5, 0.9 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 1.0, 0.0, 0.5, 0.9 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 1.0, 1.0, 0.9 }, new double[] { 0.9 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 0.0, 1.0, 0.9 }, new double[] { 0.9 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 1.0, 0.5, 0.9 }, new double[] { 0.5 }));
DataSets.Add(new NeuralNetwork.DataSet(new double[] { 0.0, 0.0, 0.5, 0.9 }, new double[] { 0.5 }));
thisNet.Train(DataSets, 10);
}
private PlayerInput BotInputWithoutBall()
{
if (Args.GameMode != GameMode.Play && Args.Immobilize)
{
return(new PlayerInput());
}
float[] neuralNetInput = ExtractorWithoutBall.Extract(this);
float[] neuralNetOutput = MovingNeuralNet.Think(neuralNetInput);
if (Team == Team.Away)
{
neuralNetOutput[0] *= -1;
neuralNetOutput[1] *= -1;
}
PlayerInput input = new PlayerInput();
input.Up = neuralNetOutput[0] > 0.1f;
input.Down = neuralNetOutput[0] < -0.1f;
input.Left = neuralNetOutput[1] > 0.1f;
input.Right = neuralNetOutput[1] < -0.1f;
input.MouseLeftPressed = false;
return(input);
}
public void LoadFromDisc(string path)
{
MovingNeuralNet.Load(Path.Combine(path, MOVING_NEURAL_NET));
MovingWithBallNeuralNet.Load(Path.Combine(path, MOVING_WITH_BALL_NEURAL_NET));
KickingBallNeuralNet.Load(Path.Combine(path, KICKING_BALL_NEURAL_NET));
}
public void SaveTodisc(string path)
{
MovingNeuralNet.Save(Path.Combine(path, MOVING_NEURAL_NET));
MovingWithBallNeuralNet.Save(Path.Combine(path, MOVING_WITH_BALL_NEURAL_NET));
KickingBallNeuralNet.Save(Path.Combine(path, KICKING_BALL_NEURAL_NET));
}
