static void Main(string[] args)
{
int wS = 48; //WorldSize p[0]
bool RL = true; //RLMethod p[1]; 'F' for QL, 'T' For MB
double a = 0.1; //alpha p[2];
double g = 0.8; //Gamma p[3];
int tO = wS; //timeOut p[4];
double mR = 1; //Manager Rewards p[5];
Policy<int[], int[]> cP = new EGreedyPolicy<int[], int[]>(); //chosen Policy p[6]
// task-switch test
int runs = 48;
int goalCt = 10;
List<double>[] stepsToGoal = new List<double>[runs];
List<double>[] cumModelUse = new List<double>[runs];
System.Diagnostics.Stopwatch sw = new System.Diagnostics.Stopwatch();
sw.Start();
ParallelOptions op = new ParallelOptions()
{
MaxDegreeOfParallelism = 8
};
//for (int run = 0; run < runs; run++)
Parallel.For(0, runs, op, run =>
{
cumModelUse[run] = new List<double>();
// instantiate world
World thisWorld = new GridWorld();
// load 1st map
thisWorld.Load("C:\\Users\\Eric\\Google Drive\\Lethbridge Projects\\map10.bmp");
// add agent
System.Threading.Thread.Sleep(run * 100); // staggered instantiation to avoid identical random number generators
//thisWorld.addAgent(typeof(EGreedyPolicy<,>), typeof(MultiGridWorldModel<,>), 8);
// thisWorld.addAgent(typeof(EGreedyPolicy<,>), typeof(Boss<,>), wS, RL, a, g, tO, mR, cP);
// run
PerformanceStats stats = new PerformanceStats();
while (stats.stepsToGoal.Count <= goalCt)
{
stats = thisWorld.stepAgent("");
if (stats.stepsToGoal.Last() == 0)
{
cumModelUse[run].Add(stats.modelAccesses + stats.modelUpdates);
Console.WriteLine("run " + run.ToString() + " goal count: " + stats.stepsToGoal.Count);
}
}
// switch task
thisWorld.Load("C:\\Users\\Eric\\Google Drive\\Lethbridge Projects\\map10a.bmp");
// run again
while (stats.stepsToGoal.Count <= goalCt * 2)
{
stats = thisWorld.stepAgent("");
if (stats.stepsToGoal.Last() == 0)
{
cumModelUse[run].Add(stats.modelAccesses + stats.modelUpdates);
Console.WriteLine("run " + run.ToString() + " goal count: " + stats.stepsToGoal.Count);
}
}
stepsToGoal[run] = stats.stepsToGoal;
});
System.IO.StreamWriter writer = new System.IO.StreamWriter("C:\\Users\\Eric\\Google Drive\\Lethbridge Projects\\stepsToGoal.csv");
for (int i = 0; i < stepsToGoal[0].Count; i++)
{
List<string> line = new List<string>();
foreach (List<double> series in stepsToGoal)
{
line.Add(series[i].ToString());
}
writer.WriteLine(string.Join(",", line));
}
writer.Flush();
writer.Close();
writer = new System.IO.StreamWriter("C:\\Users\\Eric\\Google Drive\\Lethbridge Projects\\modelUse.csv");
for (int i = 0; i < cumModelUse[0].Count; i++)
{
List<string> line = new List<string>();
foreach (List<double> series in cumModelUse)
{
line.Add(series[i].ToString());
}
writer.WriteLine(string.Join(",", line));
}
writer.Flush();
writer.Close();
}
private void button2_Click(object sender, EventArgs e)
{
int runs = 64;
int trials = 50;
int stepCap = 200;
double[][] results = new double[trials * 2][];
for (int i = 0; i < (trials * 2); i++)
results[i] = new double[runs];
int scale = 2;
Bitmap map = new Bitmap("C:\\Users\\Eric\\Google Drive\\Lethbridge Projects\\waterMazeSim\\Open.bmp");
Bitmap resized = new Bitmap(map.Width * 3, map.Height * 3);
using (Graphics g = Graphics.FromImage(resized))
{
g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.NearestNeighbor;
g.PixelOffsetMode = System.Drawing.Drawing2D.PixelOffsetMode.Half;
g.DrawImage(map, 0, 0, map.Width * scale, map.Height * scale);
}
resized.Save("temp.bmp");
map = new Bitmap("C:\\Users\\Eric\\Google Drive\\Lethbridge Projects\\waterMazeSim\\Third.bmp");
resized = new Bitmap(map.Width * 3, map.Height * 3);
using (Graphics g = Graphics.FromImage(resized))
{
g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.NearestNeighbor;
g.PixelOffsetMode = System.Drawing.Drawing2D.PixelOffsetMode.Half;
g.DrawImage(map, 0, 0, map.Width * scale, map.Height * scale);
}
resized.Save("temp2.bmp");
Parallel.For(0, runs, run => // for (int run = 0; run < runs; run++)
{
GridWorld world = new GridWorld();
world.Load("temp.bmp");
world.addAgent(typeof(EGreedyPolicy<,>), typeof(MultiResValue<,>), 1, 0);
PerformanceStats stats = new PerformanceStats();
while (stats.stepsToGoal.Count < (trials + 1))
{
stats = world.stepAgent();
//pictureBox1.Image = world.showState(300, 300);
//pictureBox1.Refresh();
//System.Threading.Thread.Sleep(1);
if (stats.stepsToGoal.Last() >= stepCap)
{
stats.TallyStepsToGoal(true);
world.Load("temp.bmp");
}
}
world.Load("temp2.bmp");
while (stats.stepsToGoal.Count < (trials * 2 + 1))
{
stats = world.stepAgent();
//pictureBox1.Image = world.showState(300, 300);
//pictureBox1.Refresh();
//System.Threading.Thread.Sleep(1);
if (stats.stepsToGoal.Last() >= stepCap)
{
stats.TallyStepsToGoal(true);
world.Load("temp2.bmp");
}
}
for (int i = 0; i < trials * 2; i++)
{
results[i][run] = stats.stepsToGoal[i];
}
});
for (int i = 0; i < trials * 2; i++)
{
textBox1.AppendText(results[i].Average() + Environment.NewLine);
}
}
static void Main(string[] args)
{
string stepsToGoalFilename = "C:\\Users\\Eric\\Desktop\\Maps\\stepsToGoal.csv";
string modelUseFilename = "C:\\Users\\Eric\\Desktop\\Maps\\modelUse.csv";
string cumRewardFilename = "C:\\Users\\Eric\\Desktop\\Maps\\cumReward.csv";
string mapsDirectory = "C:\\Users\\Eric\\Desktop\\Maps\\";
int runs = 96;
int goalCt = 10;
List<double>[] stepsToGoal = new List<double>[runs];
List<double>[] cumModelUse = new List<double>[runs];
List<double>[] cumReward = new List<double>[runs];
string[] mapNames = Directory.GetFiles(mapsDirectory, "*.bmp");
List<string> maps = new List<string>();
maps.AddRange(mapNames); //maps.AddRange(mapNames);
System.Diagnostics.Stopwatch sw = new System.Diagnostics.Stopwatch();
sw.Start();
ParallelOptions op = new ParallelOptions()
{
MaxDegreeOfParallelism = 8
};
//for(int run=0; run< runs; run++)
Parallel.For(0, runs, op, (run) =>
{
cumModelUse[run] = new List<double>();
cumReward[run] = new List<double>();
// instantiate world
World thisWorld = new GridWorld();
// add agent
System.Threading.Thread.Sleep(run * 101); // staggered instantiation to avoid identical random number generators
thisWorld.addAgent(typeof(EGreedyPolicy<,>), typeof(ContextSwitchValue<,>), 8, 100); // this line for context-switch + adaptation
//thisWorld.addAgent(typeof(EGreedyPolicy<,>), typeof(ContextSwitchValue<,>), 1, 100); // this line for context-switch only
//thisWorld.addAgent(typeof(EGreedyPolicy<,>), typeof(ModelBasedValue<,>)); // this line for standard MBRL
PerformanceStats stats = new PerformanceStats();
for (int mapNumber = 0; mapNumber<maps.Count; mapNumber++)
{
// load map
thisWorld.Load(maps[mapNumber]);
// go
while (stats.stepsToGoal.Count < goalCt * (mapNumber+1))
{
stats = thisWorld.stepAgent("");
if (stats.stepsToGoal.Last() == 0)
{
cumModelUse[run].Add(stats.modelAccesses + stats.modelUpdates);
cumReward[run].Add(stats.cumulativeReward);
Console.WriteLine("run " + run.ToString() + " goal count: " + (stats.stepsToGoal.Count-1) + " steps: " + stats.stepsToGoal[mapNumber]);
}
}
stepsToGoal[run] = stats.stepsToGoal;
}
});
//}
saveToCSV(stepsToGoalFilename, stepsToGoal);
saveToCSV(modelUseFilename, cumModelUse);
saveToCSV(cumRewardFilename, cumReward);
}
