/// <summary>
/// Simulate a game until completion.
/// </summary>
/// <param name="board">Starting board that the bots will play on. This need not be empty!</param>
/// <param name="network">Neural network that provides the AI for gameplay.</param>
/// <returns>Trace of game sequence, each board state stored as a Neural Net Example</returns>
public List <Example> Play(Board board, Network network)
{
Bot allen = new NeuralNetBot(Checker.Blue, network); // <-- you know he will win :)
Bot jason = new NeuralNetBot(Checker.Green, network);
List <Example> trace = new List <Example>();
Turns = 0;
Bot current = allen.MyColor == board.NextPlayer ? allen : jason;
while (!board.IsGameOver)
{
int column;
double score;
current.SelectMove(board, out column, out score);
Log(String.Format("{0} picks column {1} (Score: {2:f2})", (current == allen ? "Allen" : "Jason"), column, score));
board.AddChecker(current.MyColor, column);
Example example = Transform.ToNormalizedExample(board, current.MyColor);
example.Predictions.Add(score);
trace.Add(example);
current = (current == allen ? jason : allen);
++Turns;
}
if (Viewer != null)
{
Viewer.BatchAddCheckers(Checker.Blue, board.MoveHistory, completedBoard: board);
}
TotalTurns += Turns;
Checker winner;
if (board.TryGetWinner(out winner))
{
//The game is over, there was a winner.
//This means the last element of "trace" represents a won
//board state (i.e. there is a four-in-a-row with color
//'winner').
if (trace.Count > 0)
{
trace[trace.Count - 1].Predictions[0] = Transform.ToValue(GameResult.Win);
}
if (trace.Count > 1)
{
trace[trace.Count - 2].Predictions[0] = Transform.ToValue(GameResult.Loss);
}
if (winner == allen.MyColor)
{
Log("WINNER: Allen");
++AllenWon;
}
else
{
Log("WINNER: Jason");
++JasonWon;
}
}
else
{
if (trace.Count > 0)
{
trace[trace.Count - 1].Predictions[0] = Transform.ToValue(GameResult.Draw);
}
if (trace.Count > 1)
{
trace[trace.Count - 2].Predictions[0] = Transform.ToValue(GameResult.Draw);
}
Log("TIE");
++Ties;
}
++TotalGames;
Log(string.Format("Turns: {0} ({1:f2})", Turns, (double)TotalTurns / TotalGames));
Log(string.Format("Allen: {0}({1:f2}) Jason: {2}({3:f2}) Ties {4}({5:f2}) TOTAL: {6}", AllenWon, (double)AllenWon / TotalGames, JasonWon, (double)JasonWon / TotalGames, Ties, (double)Ties / TotalGames, TotalGames));
Log("");
List <Example> trace1 = new List <Example>(), trace2 = new List <Example>();
for (int i = 0; i < trace.Count; ++i)
{
if (i % 2 == 0)
{
trace1.Add(trace[i]);
}
else
{
trace2.Add(trace[i]);
}
}
double lambda = .7;
double alpha = .1;
double gamma = .5;
UpdateTraceLabels(trace1, lambda, alpha, gamma);
UpdateTraceLabels(trace2, lambda, alpha, gamma);
return(trace1.Union(trace2).ToList());
}
/// <summary>
/// Simulate a game until completion.
/// </summary>
/// <param name="board">Starting board that the bots will play on. This need not be empty!</param>
/// <param name="network">Neural network that provides the AI for gameplay.</param>
/// <returns>Trace of game sequence, each board state stored as a Neural Net Example</returns>
public List<Example> Play(Board board, Network network)
{
Bot allen = new NeuralNetBot(Checker.Blue, network); // <-- you know he will win :)
Bot jason = new NeuralNetBot(Checker.Green, network);
List<Example> trace = new List<Example>();
Turns = 0;
Bot current = allen.MyColor == board.NextPlayer ? allen : jason;
while (!board.IsGameOver)
{
int column;
double score;
current.SelectMove(board, out column, out score);
Log(String.Format("{0} picks column {1} (Score: {2:f2})", (current == allen ? "Allen" : "Jason"), column, score));
board.AddChecker(current.MyColor, column);
Example example = Transform.ToNormalizedExample(board, current.MyColor);
example.Predictions.Add(score);
trace.Add(example);
current = (current == allen ? jason : allen);
++Turns;
}
if (Viewer != null)
Viewer.BatchAddCheckers(Checker.Blue, board.MoveHistory,completedBoard:board);
TotalTurns += Turns;
Checker winner;
if (board.TryGetWinner(out winner))
{
//The game is over, there was a winner.
//This means the last element of "trace" represents a won
//board state (i.e. there is a four-in-a-row with color
//'winner').
if (trace.Count > 0) trace[trace.Count - 1].Predictions[0] = Transform.ToValue(GameResult.Win);
if (trace.Count > 1) trace[trace.Count - 2].Predictions[0] = Transform.ToValue(GameResult.Loss);
if (winner == allen.MyColor)
{
Log("WINNER: Allen");
++AllenWon;
}
else
{
Log("WINNER: Jason");
++JasonWon;
}
}
else
{
if (trace.Count > 0) trace[trace.Count - 1].Predictions[0] = Transform.ToValue(GameResult.Draw);
if (trace.Count > 1) trace[trace.Count - 2].Predictions[0] = Transform.ToValue(GameResult.Draw);
Log("TIE");
++Ties;
}
++TotalGames;
Log(string.Format("Turns: {0} ({1:f2})", Turns, (double)TotalTurns / TotalGames));
Log(string.Format("Allen: {0}({1:f2}) Jason: {2}({3:f2}) Ties {4}({5:f2}) TOTAL: {6}", AllenWon, (double)AllenWon / TotalGames, JasonWon, (double)JasonWon / TotalGames, Ties, (double)Ties / TotalGames, TotalGames));
Log("");
List<Example> trace1 = new List<Example>(), trace2 = new List<Example>();
for (int i = 0; i < trace.Count; ++i)
{
if (i % 2 == 0) trace1.Add(trace[i]);
else trace2.Add(trace[i]);
}
double lambda = .7;
double alpha = .1;
double gamma = .5;
UpdateTraceLabels(trace1, lambda, alpha, gamma);
UpdateTraceLabels(trace2, lambda, alpha, gamma);
return trace1.Union(trace2).ToList();
}