Package | Description |
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examples.jmdp | |
jmarkov.jmdp |
jMDP is used to solve Markov Decision Processes.
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jmarkov.jmdp.solvers |
This package contins the framwork of solvers used by jMDP to solve Markov Decision Processes.
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Modifier and Type | Class and Description |
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class |
AccessControlFiniteHor
The present example describes a two station tandem queuing system, with capacity b1 in the
first queue and b2, in the second.
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class |
CattleGrowth
The Cattle Growth problem represent a male cattle, the states
represent the weight at different ages.
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class |
CowHerd
The cow herd problem.
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class |
Inventory
A periodic review inventory system that is exposed to random demand.
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class |
StochasticDemand
This class belongs to the examples supplied in the package jmdp.
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class |
WagnerWhitin
This example solves a deterministic, dynamic lot-sizing problem, also known
as a Wagner Whitin problem.
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Modifier and Type | Class and Description |
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class |
FiniteDP<S extends State,A extends Action>
This class should ONLY be used in FINITE horizon deterministic problems.
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class |
FiniteMDPEv<S extends State,A extends Action,E extends Event>
This class represents a finite horizon discrete time MDP with events.
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Modifier and Type | Method and Description |
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FiniteMDP<S,A> |
AbstractFiniteSolver.getProblem()
Returns the problem associated wit this solver.
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Constructor and Description |
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FiniteSolver(FiniteMDP<S,A> problem)
Initialized the solver with the given getProblem().
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