Uses of Class
jmarkov.jmdp.DTMDP

Packages that use DTMDP
jmarkov.jmdp jMDP is used to solve Markov Decision Processes. 
jmarkov.jmdp.solvers This package contins the framwork of solvers used by jMDP to solve Markov Decision Processes. 
 

Uses of DTMDP in jmarkov.jmdp
 

Subclasses of DTMDP in jmarkov.jmdp
 class CT2DTConverter<S extends State,A extends Action>
          This class formulates a DTMDP equivalent to a CTMDP.
 class DTMDPEv<S extends State,A extends Action,E extends Event>
          This class represents an infinite horizon, discrete time, Markov Decision Process with events.
 class DTMDPEvA<S extends State,A extends Action,E extends Event>
          This class represents an infinite horizon, discrete time, Markov Decision Process with events, where actions depend on events.
 class StochasticShortestPath<S extends StateC,A extends Action>
          This class represents an infinite horizon shortest path problem.
 

Uses of DTMDP in jmarkov.jmdp.solvers
 

Methods in jmarkov.jmdp.solvers that return DTMDP
protected  DTMDP<S,A> AbstractInfiniteSolver.getDiscreteProblem()
           
 

Constructors in jmarkov.jmdp.solvers with parameters of type DTMDP
AbstractAverageSolver(DTMDP<S,A> problem)
          Creates a solver for an infinite horizon discrete time MDP
AbstractDiscountedSolver(DTMDP<S,A> problem, double interestRate)
           
AbstractInfiniteSolver(DTMDP<S,A> problem)
          Constructor method for Discrete Time Markov Decision Processes to be solved for discounted cost.
AbstractTotalSolver(DTMDP<S,A> problem)
          Creates a solver for a discrete time problem
LPBCLAverageSolver(DTMDP<S,A> problem)
          The constructor method exclusively receives a problem of the type DTMDP because this solver is only designed to work on infinite discrete horizon problems.
LPBCLDiscountedSolver(DTMDP<S,A> problem, double interestRate)
          The constructor method receives a problem of the type infinite DTMDP and an interest rate that is modified for being used as discount factor.
MpsLpAverageSolver(DTMDP<S,A> problem)
          This cosntructor creates a solver for this problem.
MpsLpAverageSolver(DTMDP<S,A> problem, java.lang.String workingDir, java.lang.String fileName)
          The constructor method receives a problem of the type infinite DTMDP, the working directory where the MPS file will be stored, and the name that the user wants for the MPS File.
MpsLpDiscountedSolver(DTMDP<S,A> problem, double interestRate)
          This is the default constructor for MpsLpDiscountedSolver class, and defines the label MDP for the MPS File.
MpsLpDiscountedSolver(DTMDP<S,A> problem, double interestRate, boolean isAverage)
          The constructor is used by the partner average solver.
MpsLpDiscountedSolver(DTMDP<S,A> problem, double interestRate, java.lang.String workingDir, java.lang.String fileName)
          The constructor method exclusively receives a problem of the type infinite DTMDP , an interest rate that is modified for being used as discount factor and the name that the user wants for the MPS File.
MpsLpDiscountedSolver(DTMDP<S,A> problem, double interestRate, java.lang.String workingDir, java.lang.String fileName, boolean isAverage)
          The constructor is used by the partenr average solver.
PolicyIterationSolver(DTMDP<S,A> problem, double discountFactor)
          The constructor method exclusively receives a problem of the type InfiniteMDP because this solver is only designed to work on infinite horizon problems.
PolicyIterationSolver(DTMDP<S,A> problem, double discountFactor, boolean setModifiedPolicy)
          The constructor method exclusively receives a problem of the type InfiniteMDP because this solver is only designed to work on infinite horizon problems.
ProbabilitySolver(DTMDP<S,A> problem)
          Initializes a new solver for discrete chains and solves the probabilities for the optimal policy.
ProbabilitySolver(DTMDP<S,A> problem, DecisionRule<S,A> dr)
          Initializes a new solver for discrete chains
RelativeValueIterationSolver(DTMDP<S,A> problem)
          The constructor method exclusively receives a discrte time infinite horizon problem of the type DTMDP.
RelativeValueIterationSolver(DTMDP<S,A> problem, double factor)
          Creates a new solver for the given discrete time, infinite horizon problem.
ValueIterationSolver(DTMDP<S,A> problem, double interestRate)
          Default Constructor for Discrte time problems.