public static void AllCases()
{
global::Keras.Keras.DisablePySysConsoleLog = true;
//ConsoleUtility.WriteLine(ConsoleColor.Cyan, "[TicTacToe] Load Value Network And Test");
//LoadValueNetworkAndTestOnAllStates();
//ConsoleUtility.WriteLine(ConsoleColor.Cyan, "[TicTacToe] Train Value Network And Test");
//TrainValueNetworkFromScratchAndTestOnAllStates(100);
//ConsoleUtility.WriteLine(ConsoleColor.Cyan, "[TicTacToe] Train Policy Network And Test");
//TrainPolicyNetworkFromScratchAndTestOnAllStates(100);
ConsoleUtility.WriteLine(ConsoleColor.Cyan, "[TicTacToe] Train Unsupervised Policy-Value Network");
//TrainModelFromScratchWithMonteCarloAndTest();
}
public void Train(IEnumerable <PVNetworkBasedMCTreeSearchNode <TState, TAction> > finalNodes, int epoches)
{
List <double[]> inputs = new List <double[]>();
List <double[]> outputs = new List <double[]>();
foreach (var finalNode in finalNodes)
{
PVNetworkBasedMCTreeSearchNode <TState, TAction> node = finalNode;
while (node != null)
{
double[] trainingOutput = GetTrainingOutput(node, finalNode);
ConsoleUtility.WriteLine(node, trainingOutput);
Console.ReadLine();
inputs.Add(TransformInput(node.State));
outputs.Add(trainingOutput);
node = node.Parent;
}
}
Model.Train(inputs.ToArray(), outputs.ToArray(), epoches);
}
