public double GetProbabilityOfAction(AIAction action, State state, ActionValueFunction actionValueFunction)
{
double sumProbabilityOfActions = 0;
foreach (var actionValue in actionValueFunction.GetActionValues(state))
{
sumProbabilityOfActions += Math.Exp(actionValueFunction.GetValue(state, actionValue.Key));
}
return(Math.Exp(actionValueFunction.GetValue(state, action)) / sumProbabilityOfActions);
}
public double GetProbabilityOfAction(AIAction action, State state, ActionValueFunction actionValueFunction)
{
//TODO
/*
* int highestCount = ListUtils.GetAllHighest(actionValueFunction.GetActionValues(state), (x, y) => (x.Value - y.Value)).Count;
* int allCount = actionValueFunction.GetActionValues(state).Count;
* if (actionValueFunction.GetValue(state, action) == ListUtils.GetHighest(actionValueFunction.GetActionValues(state), (x, y) => x.Value > y.Value).Value)
* return greedy / highestCount;
* return (1 - greedy) / allCount ;
*/
double sumProbabilityOfActions = 0;
foreach (var actionValue in actionValueFunction.GetActionValues(state))
{
sumProbabilityOfActions += Math.Exp(actionValueFunction.GetValue(state, actionValue.Key));
}
return(Math.Exp(actionValueFunction.GetValue(state, action)) / sumProbabilityOfActions);
}
private void UpdateActionValueFunction(State state, State nextState, AIAction action, double reward)
{
double value = ActionValueFunction.GetValue(state, action);
double policyActionValueSum = 0;
foreach (var actionValue in ActionValueFunction.GetActionValues(nextState))
{
policyActionValueSum += policy.GetProbabilityOfAction(actionValue.Key, nextState, ActionValueFunction) * ActionValueFunction.GetValue(nextState, actionValue.Key);
}
double newValue = value + stepSize * (reward + discount * policyActionValueSum - ActionValueFunction.GetValue(state, action));
ActionValueFunction = ActionValueFunction.UpdateValue(state, action, newValue);
}