static void Main(string[] args)
{
do
{
GridGameParameters ggp = GridGameParameters.DefaultParameters("ascii");
Console.WriteLine("t = Tic-Tac-Toe");
Console.WriteLine("c = Connect4");
Console.WriteLine("r = Reversi");
string gameName = getOption("Game? ", "t", "c", "r");
switch (gameName)
{
case "t": ggp.Game = "tictactoe"; break;
case "c": ggp.Game = "connect4"; break;
case "r": ggp.Game = "reversi"; break;
default:
break;
}
bool player1 = getOption("Do you want to be player 1 or 2? ", "1", "2") == "1";
Console.WriteLine("h = Human");
Console.WriteLine("m = Minimax");
Console.WriteLine("r = Random");
Console.WriteLine("t = Monte Carlo Tree Search");
string agentType = getOption("Opponent type? ", "h", "m", "r", "t");
IAgent opp;
switch (agentType)
{
case "h": opp = new AsciiAgent(1); break;
case "m":
int depth;
string depthStr = getOption("Max tree search depth? ");
while (!int.TryParse(depthStr, out depth))
depthStr = getOption("Invalid depth value. Try again: ");
ggp.MinimaxDepth = depth;
opp = ggp.CreateMinimaxAgent(1); break;
case "r": opp = new RandomAgent(1); break;
case "t":
int trials;
string trialStr = getOption("Max trials per move? ");
while (!int.TryParse(trialStr, out trials))
trialStr = getOption("Invalid depth value. Try again: ");
ggp.MonteCarloTrials = trials;
opp = ggp.CreateMctsAgent(1, false);
break;
default:
throw new Exception("Unknown agent type");
}
GridGame game = CreateGame(gameName, player1, opp);
game.PlayToEnd();
game.Board.PrintBoard();
AnnounceWinner(game, player1);
} while (getOption("Play again (y/n)? ", "y", "n") == "y");
}
static void Main(string[] args)
{
_params = GridGameParameters.GetParameters(args);
if (_params == null)
return;
Debug.Assert(_params.AgentPath != null);
Debug.Assert(File.Exists(_params.AgentPath));
using (TextWriter writer = new StreamWriter(_params.ConfigPath))
{
XmlSerializer ser = new XmlSerializer(typeof(GridGameParameters));
ser.Serialize(writer, _params);
}
_experiment = new GridGameExperiment(_params.ConfigPath);
IAgent agent = null;
IAgent benchmark = null;
// Load the agent to benchmark
var modelGenome = _experiment.LoadPopulation(XmlReader.Create(_params.AgentPath))[0];
var brain = _experiment.CreateGenomeDecoder().Decode(modelGenome);
if (_params.MctsNeat)
{
Console.WriteLine("Creating MCTS-NEAT agent");
agent = _params.CreateMctsNeatAgent(1, brain);
}
else
{
Console.WriteLine("Creating MCTS agent");
agent = _params.CreateMctsAgent(1, false);
}
// Create the benchmark MCTS agent
if (_params.Evaluator == "mcts")
{
Console.WriteLine("Creating MCTS benchmark agent");
benchmark = _params.CreateMctsAgent(-1, true);
}
else
{
Console.WriteLine("Creating Random benchmark agent");
benchmark = new RandomAgent(-1);
}
Outcome[] outcomes = new Outcome[_params.MatchesPerOpponent * 2];
Console.WriteLine("Starting games as player 1..");
using (_moveLog = new StreamWriter(_params.BenchmarkGameLogPath))
{
for (int i = 0; i < _params.MatchesPerOpponent; i++)
{
Console.Write(i + "...");
if (i > 0 && i % 10 == 0)
Console.WriteLine();
outcomes[i] = RunTrial(agent, benchmark, 1);
}
Console.WriteLine();
Console.WriteLine("Starting games as player 2..");
for (int i = 0; i < _params.MatchesPerOpponent; i++)
{
Console.Write(i + "...");
if (i > 0 && i % 10 == 0)
Console.WriteLine();
outcomes[i + _params.MatchesPerOpponent] = RunTrial(benchmark, agent, -1);
}
Console.WriteLine();
Console.WriteLine("Saving log file...");
}
using (TextWriter writer = new StreamWriter(_params.BenchmarkResultsPath))
{
// games
// wins, ties, losses
// win %, tie %, loss %
// p1 wins, p1 ties, p1 losses,
// p1 win %, p1 tie %, p1 loss %,
// p2 wins, p2 ties, p2 losses,
// p2 win %, p2 tie %, p2 loss %,
// time per move, turns per game
writer.WriteLine("games,wins,win%,ties,tie%,losses,loss%,p1 wins,p1 win%,p1 ties,p1 tie%,p1 losses,p1 loss%,p2 wins,p2 win%,p2 ties,p2 tie%,p2 losses,p2 loss%,avg time per move, avg total moves per game");
writer.WriteLine(
outcomes.Length + "," + // games
outcomes.Count(o => o.Winner == o.AgentId) + "," + // wins
Pct(outcomes.Count(o => o.Winner == o.AgentId), outcomes.Length) + "," + // win %
outcomes.Count(o => o.Winner == 0) + "," + // ties
Pct(outcomes.Count(o => o.Winner == 0), outcomes.Length) + "," + // tie %
outcomes.Count(o => o.Winner == o.BenchmarkId) + "," + // losses
Pct(outcomes.Count(o => o.Winner == o.BenchmarkId), outcomes.Length) + "," + // loss %
outcomes.Count(o => o.Winner == o.AgentId && o.AgentId == 1) + "," + // p1 wins
Pct(outcomes.Count(o => o.Winner == o.AgentId && o.AgentId == 1), outcomes.Count(o => o.AgentId == 1)) + "," + // p1 win %
outcomes.Count(o => o.Winner == 0 && o.AgentId == 1) + "," + // p1 ties
Pct(outcomes.Count(o => o.Winner == 0 && o.AgentId == 1), outcomes.Count(o => o.AgentId == 1)) + "," + // p1 tie %
outcomes.Count(o => o.Winner == o.BenchmarkId && o.AgentId == 1) + "," + // p1 losses
Pct(outcomes.Count(o => o.Winner == o.BenchmarkId && o.AgentId == 1), outcomes.Count(o => o.AgentId == 1)) + "," + // p1 loss %
outcomes.Count(o => o.Winner == o.AgentId && o.AgentId == -1) + "," + // p2 wins
Pct(outcomes.Count(o => o.Winner == o.AgentId && o.AgentId == -1), outcomes.Count(o => o.AgentId == -1)) + "," + // p2 win %
outcomes.Count(o => o.Winner == 0 && o.AgentId == -1) + "," + // p2 ties
Pct(outcomes.Count(o => o.Winner == 0 && o.AgentId == -1), outcomes.Count(o => o.AgentId == -1)) + "," + // p2 tie %
outcomes.Count(o => o.Winner == o.BenchmarkId && o.AgentId == -1) + "," + // p2 losses
Pct(outcomes.Count(o => o.Winner == o.BenchmarkId && o.AgentId == -1), outcomes.Count(o => o.AgentId == -1)) + "," + // p2 loss %
string.Format("{0:N2},", outcomes.Average(o => o.AverageTurnTime)) +
string.Format("{0:N2}", outcomes.Average(o => o.TotalMoves))
);
}
Console.WriteLine("Done!");
}
