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Packages that use CTMDP | |
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jmdp | |
jmdp.solvers |
Uses of CTMDP in jmdp |
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Subclasses of CTMDP in jmdp | |
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class |
CTMDPEv<S extends State,A extends Action,E extends Event>
This class represents an Infinite horizon, continuous time Markov Decision Process with events. |
class |
CTMDPEvA<S extends State,A extends Action,E extends Event>
This class represents an Infinite horizon, continuous time Markov Decision Process with events where actions depend on events. |
Uses of CTMDP in jmdp.solvers |
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Constructors in jmdp.solvers with parameters of type CTMDP | |
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AbstractInfiniteSolver(CTMDP<S,A> problem)
Creates a solver for an infinite horizon continuous time problem |
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ProbabilitySolver(CTMDP<S,A> problem)
Initializes a new solver for continuous chains and solves the probabilities for the optimal policy. |
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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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RelativeValueIterationSolver(CTMDP<S,A> problem)
Creates a new solver for a continuous time, infinite horizon problem. |
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RelativeValueIterationSolver(CTMDP<S,A> problem,
double factor)
Creates a new solver for a continuous time, infinite horizon problem to be solved with the modified relative value iteration method. |
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ValueIterationSolver(CTMDP<S,A> problem,
double discountFactor)
This constructor method exclusively receives a problem of the type CTMDP because this solver is only designed to work on infinite horizon problems. |
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