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Packages that use DecisionRule | |
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jmarkov.basic | This package contains basic elements such as State, Event, Action that are used in jMarkov and jMDP. |
jmarkov.jmdp.solvers | This package contins the framwork of solvers used by jMDP to solve Markov Decision Processes. |
Uses of DecisionRule in jmarkov.basic |
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Methods in jmarkov.basic that return DecisionRule | |
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DecisionRule<S,A> |
Policy.getDecisionRule()
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DecisionRule<S,A> |
Policy.getDecisionRule(int t)
Returns the decision rule for statge t |
Methods in jmarkov.basic with parameters of type DecisionRule | |
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void |
Policy.setDecisionRule(DecisionRule<S,A> pol)
Sets a unique decision rule for the policy, for infinite horizon problems. |
void |
Policy.setDecisionRule(DecisionRule<S,A> dr,
int t)
Sets a decision rule for stage t in the policy |
Constructors in jmarkov.basic with parameters of type DecisionRule | |
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DecisionRule(DecisionRule<S,A> dr)
Creates a decision rule from a given one |
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Policy(DecisionRule d)
Creates a stationary policy with the given decition rule |
Uses of DecisionRule in jmarkov.jmdp.solvers |
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Methods in jmarkov.jmdp.solvers with parameters of type DecisionRule | |
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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. |
Constructors in jmarkov.jmdp.solvers with parameters of type DecisionRule | |
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ProbabilitySolver(CTMDP<S,A> problem,
DecisionRule<S,A> dr)
Initializes a new solver for continuous chains and solves the probabilities for a particular decision rule. |
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ProbabilitySolver(DTMDP<S,A> problem,
DecisionRule<S,A> dr)
Initializes a new solver for discrete chains |
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