public override LSI <object, TicTacToeState, TicTacToeMove, object, TreeSearchNode <TicTacToeState, TicTacToeMove>, OddmentTable <int> > SetupLSI(ISideInformationStrategy <object, TicTacToeState, TicTacToeMove, object, TicTacToeMove, OddmentTable <int> > sideInformationStrategy, ILSISamplingStrategy <TicTacToeState, TicTacToeMove, OddmentTable <int> > samplingStrategy)
{
var playoutStrategy = new AgentPlayout <object, TicTacToeState, TicTacToeMove, object, TicTacToeMove>(Agent);
var evaluationStrategy = EvaluationStrategy;
//var search = new LSI<object, TicTacToeState, TicTacToeMove, object, TreeSearchNode<TicTacToeState, TicTacToeMove>, OddmentTable<int>>(sideInformationStrategy, samplingStrategy, playoutStrategy, evaluationStrategy, GameLogic);
throw new NotImplementedException();
}
public void Setup()
{
// Setup
State = new TicTacToeState();
Agent = new TicTacToeGameLogic();
GameLogic = new TicTacToeGameLogic();
PlayoutStrategy = new AgentPlayout <object, TicTacToeState, TicTacToeMove, object, TicTacToeMove>(Agent);
EvaluationStrategy = new WinLossDrawStateEvaluation <object, TicTacToeState, TicTacToeMove, object, TicTacToeMove, TreeSearchNode <TicTacToeState, TicTacToeMove> >(1, -10, 0);
}
/// <summary>
/// Constructs a new instance.
/// </summary>
public NMCTSBuilder()
{
ExplorationStrategy = new ChanceExploration <D, P, A, S, Sol>(Constants.DEFAULT_EXPLORE_CHANCE);
PlayoutStrategy = new AgentPlayout <D, P, A, S, Sol>(new RandomAgent <D, P, A, S, Sol>());
PolicyGlobal = 0; // pure-greedy, i.e. e-greedy with e=0
}
/// <summary>
/// Constructs a new instance.
/// </summary>
public FlatMCSBuilder()
{
PlayoutStrategy = new AgentPlayout <D, P, A, S, Sol>(new RandomAgent <D, P, A, S, Sol>());
}
