public static void Run(string[] args)
{
// -clusterid $(Cluster) -processid $(Process) -brain Breakout.brain -factor 0.5
int clusterId = 0;
int processId = 0;
double discountFactor = 0.6;
string breakoutBrainFilePath = "";
OptionSet options = new OptionSet()
.Add("clusterid=", v => clusterId = Int32.Parse(v))
.Add("processid=", v => processId = Int32.Parse(v))
.Add("factor=", v => discountFactor = Double.Parse(v, CultureInfo.InvariantCulture))
.Add("brain=", v => breakoutBrainFilePath = Path.GetFullPath(v));
try
{
options.Parse(Environment.GetCommandLineArgs().Skip(1));
}
catch (OptionException e)
{
MyLog.ERROR.WriteLine(e.Message);
}
MyProjectRunner runner = new MyProjectRunner(MyLogLevel.DEBUG);
StringBuilder result = new StringBuilder();
runner.OpenProject(breakoutBrainFilePath);
runner.DumpNodes();
runner.SaveOnStop(23, true);
for (int i = 0; i < 5; ++i)
{
runner.RunAndPause(1000, 100);
float[] data = runner.GetValues(23, "Bias");
MyLog.DEBUG.WriteLine(data[0]);
MyLog.DEBUG.WriteLine(data[1]);
result.AppendFormat("{0}: {1}, {2}", i, data[0], data[1]);
runner.Set(23, typeof(MyQLearningTask), "DiscountFactor", discountFactor);
runner.RunAndPause(1000, 300);
data = runner.GetValues(23, "Bias");
MyLog.DEBUG.WriteLine(data[0]);
MyLog.DEBUG.WriteLine(data[1]);
result.AppendFormat(" --- {0}, {1}", data[0], data[1]).AppendLine();
runner.Reset();
}
string resultFilePath = @"res." + clusterId.ToString() + "." + processId.ToString() + ".txt";
File.WriteAllText(resultFilePath, result.ToString());
string brainzFilePath = @"state." + clusterId.ToString() + "." + processId.ToString() + ".brainz";
runner.SaveProject(brainzFilePath);
runner.Shutdown();
return;
}
private void RunTest(BrainTest test, MyProjectRunner projectRunner)
{
projectRunner.OpenProject(FindBrainFile(test));
projectRunner.DumpNodes();
var brainScan = new BrainScan(projectRunner);
try
{
do
{
projectRunner.RunAndPause(GetIterationStepCount(test, projectRunner.SimulationStep));
if (ShouldStop(test, brainScan))
break;
}
while (projectRunner.SimulationStep < test.MaxStepCount);
test.Check(brainScan);
}
finally
{
projectRunner.Reset();
}
}