public QLearning(int state_count, int action_count, double alpha = 0.1, double gamma = 0.7, double initial_Q = 0.1)
{
mModel = new QModel(state_count, action_count, initial_Q);
LearningRate = alpha;
DiscountFactor = gamma;
mActionSelectionStrategy = new EpsilonGreedyActionSelectionStrategy();
}
public RLearning(int state_count, int action_count, double alpha = 0.1, double beta = 0.1, double rho = 0.7, double initial_Q = 0.1)
{
mModel = new QModel(state_count, action_count, initial_Q);
LearningRate = alpha;
mRho = rho;
mBeta = beta;
mActionSelectionStrategy = new EpsilonGreedyActionSelectionStrategy();
}
public QLearning(SparseQModel model)
{
mModel = model;
mActionSelectionStrategy = new EpsilonGreedyActionSelectionStrategy();
}
