public MyStochasticReturnPredictor(MyRootDecisionSpace rds, int myPromotedVariable,
MyModuleParams setup, String label, int level)
: base(label, level, setup)
{
base.AddPromotedVariable(myPromotedVariable, rds);
this.Rds = rds;
Ds = new MyDecisionSpace(this, rds, setup);
Mem = new MyQSAMemory(rds.VarManager.MAX_VARIABLES, 0);
m_asm = new MyMotivationBasedDeleteUnselectedASM(setup);
LearningAlgorithm = new MyDiscreteQLearning(setup, Mem);
m_mlvh = new MyLocalVariableHistory(rds, m_setup, Ds);
m_prevSelectedAction = 0;
m_prev_st = Ds.GetCurrentState();
this.m_newVariables = new List <int>();
}
private int[] m_prev_st; // previous state (for variable adding and sharing knowledge)
#endregion Fields
#region Constructors
public MyStochasticReturnPredictor(MyRootDecisionSpace rds, int myPromotedVariable,
MyModuleParams setup, String label, int level)
: base(label, level, setup)
{
base.AddPromotedVariable(myPromotedVariable, rds);
this.Rds = rds;
Ds = new MyDecisionSpace(this, rds, setup);
Mem = new MyQSAMemory(rds.VarManager.MAX_VARIABLES, 0);
m_asm = new MyMotivationBasedDeleteUnselectedASM(setup);
LearningAlgorithm = new MyDiscreteQLearning(setup, Mem);
m_mlvh = new MyLocalVariableHistory(rds, m_setup, Ds);
m_prevSelectedAction = 0;
m_prev_st = Ds.GetCurrentState();
this.m_newVariables = new List<int>();
}