// private RLAIFA rlaifa;
// Use this for initialization
void Start()
{
currInterval = AIMoveInterval;
settings = GameObject.FindObjectOfType <Settings>().GetComponent <Settings>();
gameTreeAI = new GameTreeAI(gameState, depthSetting, AIMoveInterval);
rlAI = new RLAI(AIMoveInterval);
// rlaifa = new RLAIFA(AIMoveInterval); // incomplete reinforcemnt learning AI with Function Approx.
}
// public bool test;
// Use this for initialization
void Start()
{
currInterval = AIMoveInterval;
settings = GameObject.FindObjectOfType <Settings>().GetComponent <Settings>();
gameTreeAI = new GameTreeAI(gameState, depthSetting, AIMoveInterval);
// rlAI = new RLAI (AIMoveInterval);
rlaifa = new RLAIFA(AIMoveInterval);
}
public static void generateJsonGameTree(GameState <T> state, string outName, int playerID)
{
state.generateFuture();
for (int max = 0; max < SystemInfo.processorCount / 2; max++)
{
MultiThreading.startNewThread((int)(ThreadingConstants.MB_IN_BYTES * 40));
}
foreach (GameState <T> child in state.childGameStates)
{
GameState <T> c = child;
MultiThreading.loadBalanceTask(() => {
generate(c);
Debug.Log("GENERATED:" + c);
});
}
string loc = Application.persistentDataPath;
int thread = 0;
thread = MultiThreading.loadBalanceTask(() => {
while (MultiThreading.threadsIdle(thread))
{
Thread.Sleep(1000);
}
Debug.Log("AI STARTED");
foreach (GameState <T> child in state.childGameStates)
{
GameState <T> c = child;
MultiThreading.loadBalanceTask(() => GameTreeAI <T> .generatePercentHeuristic(c));
}
thread = MultiThreading.loadBalanceTask(() => {
while (MultiThreading.threadsIdle(thread))
{
Thread.Sleep(1000);
}
Debug.Log("WRITING JSON");
using (StreamWriter file = File.CreateText(loc + "/" + outName + ".json"))
{
JsonSerializer serializer = new JsonSerializer();
serializer.Serialize(file, state);
}
Debug.Log("DONE");
MultiThreading.stopAll();
});
});
}
void Start()
{
game = new TicTacToeGameState();
ai = new GameTreeAI <TicTacToeState> (
Application.dataPath + "/TicTacToeTree.json", 0, new TicTacToeEvaluator());
}
