public abstract bool IsGoalState(State s);
public override double TransitionProbability(Action a, State sTag)
{
RaceCarState sTagApply = new RaceCarState(this);
sTagApply.Apply((VelocityAction)a, true);
if (sTag.Equals(sTagApply))
return RaceTrack.ACTION_SUCCESS_PROBABILITY;
RaceCarState sTagNoApply = new RaceCarState(this);
sTagNoApply.Apply((VelocityAction)a, false);
if (sTag.Equals(sTagNoApply))
return 1 - RaceTrack.ACTION_SUCCESS_PROBABILITY;
return 0.0;
}
public double ValueAt(State s)
{
//your code here
return ViByS[s];
}
private double update(State s)
{
double maxV = ViByS[s];
Action maxA = null;
foreach (Action a in m_dDomain.Actions)
{
double sum = 0;
foreach (State stag in s.Successors(a))
sum += s.TransitionProbability(a, stag) * ViByS[stag];
double tmp = s.Reward(a) + (m_dDomain.DiscountFactor * sum);
// save max
if ((tmp >= maxV) && (!s.Apply(a).Equals(s)))
{
maxV = tmp;
maxA = a;
}
}
if (maxA != null)
{
double delta = maxV - ViByS[s];
ViByS[s] = maxV;
ViBySActions[s] = maxA;
return Math.Abs(delta);
}
return 0;
}
public abstract Action GetAction(State s);
public override Action GetAction(State s)
{
//your code here
return ViBySActions[s];
}
public abstract double TransitionProbability(Action a, State sTag);
public override Action GetAction(State s)
{
int idx = RandomGenerator.Next(m_lActions.Count);
return m_lActions[idx];
}
// calc the formula for Vi+1(s)
private double updateValueIter(State s)
{
double maxV = Double.MinValue;
Action maxA = null;
foreach (Action a in m_dDomain.Actions)
{
// clac formula for action a
double sum = 0;
foreach (State stag in s.Successors(a))
sum += s.TransitionProbability(a, stag) * ViByS[stag];
double tmp = s.Reward(a) + m_dDomain.DiscountFactor * sum;
// save max
if((tmp >= maxV)){
maxV = tmp;
maxA = a;
}
}
if (maxA != null)
{
Vi_1ByS[s] = maxV;
ViBySActions[s] = maxA;
return Math.Abs(Vi_1ByS[s] - ViByS[s]);
}
return 0;
}
private Action epsilonGreedy(State s,double depsilon)
{
if ( RandomGenerator.NextDouble() > depsilon)
return m_dDomain.Actions.ElementAt(RandomGenerator.Next(m_dDomain.Actions.Count()));
else
return findMaxQA(s);
}
private Action findMaxQA(State j)
{
List<Action> actions = new List<Action>();
double maxQA = double.MinValue;
foreach (Action a in m_dDomain.Actions)
if (Q[j][a] > maxQA)
maxQA = Q[j][a];
foreach (Action a in m_dDomain.Actions)
if (Q[j][a] == maxQA)
actions.Add(a);
int idx = RandomGenerator.Next(actions.Count);
return actions[idx];
}
private double MaxR(State stag)
{
double maxR = double.MinValue;
foreach (Action a in m_dDomain.Actions)
maxR = Math.Max(maxR,Q[stag][a] );
return maxR;
}
public override bool IsGoalState(State s)
{
return IsGoalState((RaceCarState)s);
}
