public static NeuralBrain LoadANN(string name)
{
FileInfo file = new FileInfo(Path.ChangeExtension(name, EXT));
BasicNetwork network = (BasicNetwork)EncogDirectoryPersistence.LoadObject(file);
NeuralBrain brain = new NeuralBrain(network);
brain.Name = name;
return(brain);
}
public static NeuralBrain CreateANN(string name)
{
NeuralBrain brain = new NeuralBrain();
brain.Name = name;
FileInfo file = new FileInfo(Path.ChangeExtension(name, EXT));
EncogDirectoryPersistence.SaveObject(file, brain.network);
return(brain);
}
static void Main(string[] args)
{
IPlayer playerOne;
IPlayer playerTwo;
Console.WriteLine("1 - Single game.");
Console.WriteLine("2 - Multiple games");
Console.WriteLine("3 - Train ANN");
string decision = Console.ReadLine();
switch (decision)
{
case "1":
playerOne = ChoosePlayer();
playerTwo = ChoosePlayer();
GameTable table = new GameTable(playerOne, playerTwo);
table.Run();
break;
case "2":
playerOne = ChooseCType();
playerTwo = ChooseCType();
AutoTestingTable auto = new AutoTestingTable(playerOne, playerTwo);
auto.Run();
break;
case "3":
NeuralBrain brain = ChooseNetwork();
// use same brain for training
playerOne = new Comp(brain.GetBestMove);
playerTwo = new Comp(brain.GetBestMove);
TrainingTable train = new TrainingTable(playerOne, playerTwo, brain);
train.Run();
IO.SaveANN(brain);
break;
default:
break;
}
}
static IPlayer ChooseCType()
{
do
{
Console.WriteLine("Select type:");
Console.WriteLine("R - Random");
Console.WriteLine("M - Minimax");
Console.WriteLine("NM - Negamax");
Console.WriteLine("AB - AB pruning");
Console.WriteLine("MC - Monte Carlo Tree Search");
Console.WriteLine("NN - Neural network");
string result = Console.ReadLine();
switch (result)
{
case "R":
return(new Comp(Brain.GetRandomMove));
case "M":
return(new Comp(Brain.GetBestMoveMiniMax));
case "NM":
return(new Comp(Brain.GetBestMoveNegaMax));
case "AB":
return(new Comp(Brain.GetBestMoveABMiniMax));
case "MC":
return(new Comp(Brain.GetBestMoveMCTS));
case "NN":
NeuralBrain brain = ChooseNetwork();
return(new Comp(brain.GetBestMove));
default:
Console.WriteLine("Something went wrong");
break;
}
} while (true);
}
public static void SaveANN(NeuralBrain brain)
{
FileInfo file = new FileInfo(Path.ChangeExtension(brain.Name, EXT));
EncogDirectoryPersistence.SaveObject(file, brain.network);
}
public TrainingTable(IPlayer playerOne, IPlayer playerTwo, NeuralBrain network)
{
this.playerOne = playerOne;
this.playerTwo = playerTwo;
this.network = network;
}
