public void AllStateValues_AreBetween_0_and_1()
{
var opponent = new FirstAvailableSlotPlayer(BoardTile.O);
_1StepAgent.Train(opponent, 50);
var stateValues = _1StepAgent.GetCurrentStateValues().All().ToList();
Assert.IsTrue(stateValues.All(sv => Math.Abs(sv.Item2) >= 0.0 && Math.Abs(sv.Item2) <= 1.0));
}
public void AfterTraining_PlaysAGameToCompletion()
{
var opponent = new FirstAvailableSlotPlayer(BoardTile.O);
_1StepAgent.Train(opponent, 50);
var agentPlayer = new GreedyStateValuePlayer(_1StepAgent.GetCurrentStateValues(), BoardTile.X);
var game = new TicTacToeGame(Board.CreateEmptyBoard(), agentPlayer, opponent);
game.Run();
Assert.IsTrue(game.IsFinished());
}
public void Saves_And_Loads()
{
var opponent = new FirstAvailableSlotPlayer(BoardTile.O);
_1StepAgent.Train(opponent, 1);
var path = $"{nameof(NStepAgentTests)}.{nameof(Saves_And_Loads)}.agent.json";
_1StepAgent.SaveTrainedValues("asdf", path);
var stateValueTable = PolicyFileIo.LoadStateValueTable(path);
Assert.NotNull(stateValueTable);
}
public void Saves_And_Loads()
{
var agent = new MonteCarloTicTacToeAgent(BoardTile.X);
var opponent = new FirstAvailableSlotPlayer(BoardTile.O);
agent.Train(opponent, 1);
var path = $"{nameof(MonteCarloTicTacToeAgentTests)}.{nameof(Saves_And_Loads)}.agent.json";
agent.SaveTrainedValues("asdf", path);
var stateActionTable = PolicyFileIo.LoadStateActionTable(path);
Assert.NotNull(stateActionTable);
}
