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Packages that use ValueFunction | |
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jmdp | |
jmdp.basic | |
jmdp.solvers |
Uses of ValueFunction in jmdp |
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Fields in jmdp declared as ValueFunction | |
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protected ValueFunction<S> |
InfiniteMDP.probability
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Methods in jmdp that return ValueFunction | |
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ValueFunction<S> |
MDP.getOptimalValueFunction()
Returns the optimal ValueFunction. |
ValueFunction<S> |
DTMDP.getSteadyStateProbabilities()
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ValueFunction<S> |
CTMDP.getSteadyStateProbabilities()
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Uses of ValueFunction in jmdp.basic |
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Methods in jmdp.basic that return ValueFunction | |
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ValueFunction<S> |
Solution.getValueFunction()
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Constructors in jmdp.basic with parameters of type ValueFunction | |
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Solution(ValueFunction<S> valueFunction,
Policy<S,A> policy)
Builds a solution given a value funtcion and a policy |
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ValueFunction(ValueFunction<S> vf)
Creates a value function from another given value function |
Uses of ValueFunction in jmdp.solvers |
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Fields in jmdp.solvers declared as ValueFunction | |
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ValueFunction<S> |
ProbabilitySolver.probability
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protected ValueFunction<S> |
Solver.valueFunction
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Methods in jmdp.solvers that return ValueFunction | |
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ValueFunction<S> |
Solver.getOptimalValueFunction()
Gets the optimal ValueFunction. |
ValueFunction<S> |
Solver.getValueFunction()
If the problem is solved, it will return the optimal value function. |
protected ValueFunction<S> |
PolicyIterationSolver.solveMatrix(DecisionRule<S,A> localDecisionRule)
This method is used by the PolicyIterationSolver to solve the linear system of equations to determine the value functions of each state for a given policy. |
protected ValueFunction<S> |
PolicyIterationSolver.solveMatrixModified(DecisionRule<S,A> localDecisionRule)
This method is used by the PolicyIterationSolver to solve the linear system of equations to determine the value functions of each state for a given policy. |
Methods in jmdp.solvers with parameters of type ValueFunction | |
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protected double |
ValueIterationSolver.future(S i,
A a,
double discountF,
ValueFunction<S> vf)
Expected value of valueFunction for the current state and a specified action. |
protected double |
PolicyIterationSolver.future(S i,
A a,
double discountF,
ValueFunction<S> vf)
Expected value of valueFunction for the current state and a specified action. |
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