public Vector3 GetInteractorGradient(int index)
{
if (GetInteractorDistance(index) == GetInteractionRadius())
{
return(Vector3.zero);
}
float distance = Mathf.Min(GetInteractorDistance(index), GetInteractionRadius());
float inverseDistance = GetInteractionRadius() - distance;
return(inverseDistance * RivalRoot.GetPosition(index).GetRelativePositionTo(ActorRoot.Transformations[index]));
}
private float GetInteractorDistance(int index)
{
if (Rival == null || RivalRoot == null)
{
return(GetInteractionRadius());
}
return(Mathf.Clamp(Vector3.Distance(ActorRoot.GetPosition(index).ZeroY(), RivalRoot.GetPosition(index).ZeroY()), 0f, GetInteractionRadius()));
}
protected override void Feed()
{
//User Input Control
Control();
//Get Root
Matrix4x4 root = Actor.GetRoot().GetWorldMatrix(true);
//Input Timeseries
for (int i = 0; i < TimeSeries.KeyCount; i++)
{
int index = TimeSeries.GetKey(i).Index;
NeuralNetwork.FeedXZ(RootSeries.GetPosition(index).GetRelativePositionTo(root));
NeuralNetwork.FeedXZ(RootSeries.GetDirection(index).GetRelativeDirectionTo(root));
NeuralNetwork.FeedXZ(RootSeries.Velocities[index].GetRelativeDirectionTo(root));
NeuralNetwork.Feed(StyleSeries.Values[index]);
}
//Input Character
for (int i = 0; i < Actor.Bones.Length; i++)
{
NeuralNetwork.Feed(Actor.Bones[i].Transform.position.GetRelativePositionTo(root));
NeuralNetwork.Feed(Actor.Bones[i].Transform.forward.GetRelativeDirectionTo(root));
NeuralNetwork.Feed(Actor.Bones[i].Transform.up.GetRelativeDirectionTo(root));
NeuralNetwork.Feed(Actor.Bones[i].Velocity.GetRelativeDirectionTo(root));
}
//Input Contacts
for (int i = 0; i <= TimeSeries.PivotKey; i++)
{
int index = TimeSeries.GetKey(i).Index;
NeuralNetwork.Feed(ContactSeries.Values[index]);
}
//Input Gating Features
NeuralNetwork.Feed(PhaseSeries.GetAlignment());
}
protected override void Feed()
{
//User Input Control
Control();
//Get Root
Matrix4x4 root = Actor.GetRoot().GetWorldMatrix(true);
//Input Timeseries
for (int i = 0; i < TimeSeries.KeyCount; i++)
{
int index = TimeSeries.GetKey(i).Index;
NeuralNetwork.FeedXZ(RootSeries.GetPosition(index).GetRelativePositionTo(root));
NeuralNetwork.FeedXZ(RootSeries.GetDirection(index).GetRelativeDirectionTo(root));
NeuralNetwork.FeedXZ(RootSeries.Velocities[index].GetRelativeDirectionTo(root));
NeuralNetwork.Feed(DribbleSeries.Pivots[index]);
NeuralNetwork.Feed(DribbleSeries.Momentums[index]);
NeuralNetwork.Feed(StyleSeries.Values[index]);
}
//Input Character
for (int i = 0; i < Actor.Bones.Length; i++)
{
NeuralNetwork.Feed(Actor.Bones[i].Transform.position.GetRelativePositionTo(root));
NeuralNetwork.Feed(Actor.Bones[i].Transform.forward.GetRelativeDirectionTo(root));
NeuralNetwork.Feed(Actor.Bones[i].Transform.up.GetRelativeDirectionTo(root));
NeuralNetwork.Feed(Actor.Bones[i].Velocity.GetRelativeDirectionTo(root));
}
//Input Ball
for (int i = 0; i <= TimeSeries.PivotKey; i++)
{
int index = TimeSeries.GetKey(i).Index;
NeuralNetwork.Feed(DribbleSeries.GetControlWeight(index, root.GetPosition()));
NeuralNetwork.Feed(DribbleSeries.GetWeightedBallPosition(index, root.GetPosition()).GetRelativePositionTo(root));
NeuralNetwork.Feed(DribbleSeries.GetWeightedBallVelocity(index, root.GetPosition()).GetRelativeDirectionTo(root));
}
//Input Contacts
for (int i = 0; i <= TimeSeries.PivotKey; i++)
{
int index = TimeSeries.GetKey(i).Index;
NeuralNetwork.Feed(ContactSeries.Values[index]);
}
//Input Rival
//Not included in this demo. If you want to use it, you will need to create a second player and pass its reference to the DribbleSeries contructor in the Setup function.
for (int i = 0; i < TimeSeries.KeyCount; i++)
{
NeuralNetwork.Feed(DribbleSeries.GetInteractorWeight(i));
}
for (int i = 0; i < TimeSeries.KeyCount; i++)
{
NeuralNetwork.FeedXZ(DribbleSeries.GetInteractorGradient(i));
NeuralNetwork.FeedXZ(DribbleSeries.GetInteractorDirection(i));
NeuralNetwork.FeedXZ(DribbleSeries.GetInteractorVelocity(i));
}
for (int i = 0; i < Actor.Bones.Length; i++)
{
NeuralNetwork.Feed(DribbleSeries.GetInteractorBoneDistance(i));
}
//Input Gating Features
NeuralNetwork.Feed(PhaseSeries.GetAlignment());
//Generative Controller
if (GenerativeControl)
{
for (int i = 0; i < GenerativeModel.GetOutputDimensionality(); i++)
{
GenerativeModel.SetInput(i, NeuralNetwork.GetInput(i));
}
GenerativeModel.Predict();
for (int i = 0; i < GenerativeModel.GetOutputDimensionality(); i++)
{
NeuralNetwork.SetInput(i, GenerativeModel.GetOutput(i));
}
}
}
