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Packages that use Solver | |
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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 Solver in jmarkov.jmdp |
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Methods in jmarkov.jmdp that return Solver | |
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protected abstract Solver<S,A> |
MDP.getDefaultSolver()
The class that extends MDP must define the default solver to use. |
protected Solver<S,A> |
FiniteMDP.getDefaultSolver()
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Solver<S,A> |
MDP.getSolver()
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Methods in jmarkov.jmdp with parameters of type Solver | |
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void |
MDP.setSolver(Solver<S,A> solver)
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Uses of Solver in jmarkov.jmdp.solvers |
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Subclasses of Solver in jmarkov.jmdp.solvers | |
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class |
AbstractAverageSolver<S extends State,A extends Action>
Structural class for average cost solvers to extend. |
class |
AbstractDiscountedSolver<S extends State,A extends Action>
This is a structural class that must be extended by classes solving the dicounted cost minimization problem. |
class |
AbstractFiniteSolver<S extends State,A extends Action>
Structural class for solvers to extend in order to solve finite horizon problems. |
class |
AbstractInfiniteSolver<S extends State,A extends Action>
Structural class to be extended by solvers in order to solve infinite horizon problems |
class |
AbstractTotalSolver<S extends State,A extends Action>
Structural class to be extended by solvers in order to solve the total cost criteria for an infinite horizon problem |
class |
FiniteSolver<S extends State,A extends Action>
This class belongs to the set of default solvers included in the jmdp package. |
class |
LPBCLAverageSolver<S extends State,A extends Action>
This solver solves a average-cost infinite horizon MDP by building and solving a linear problem using as interface Xpress BCL. |
class |
LPBCLDiscountedSolver<S extends State,A extends Action>
This solver solves a discounted infinite horizon MDP by building and solving a linear problem using as interface Xpress BCL. |
class |
MpsLpAverageSolver<S extends State,A extends Action>
This class builds the Dual Linear Program for an average infinite horizon MDP in a MPS file. |
class |
MpsLpDiscountedSolver<S extends State,A extends Action>
This class builds a Linear Program for a discounted infinite horizon MDP in a MPS file. |
class |
PolicyIterationSolver<S extends State,A extends Action>
This class solves infinite horizon discounted problems using the policy iteration algorithm. |
class |
RelativeValueIterationSolver<S extends State,A extends Action>
This class solves the average cost criteria for infinite horizon problems |
class |
StochasticShortestPathSolver<S extends StateC,A extends Action>
This solver gives a solution for the minimization of the total cost criterion for an infinite horizon MDP. |
class |
ValueIterationSolver<S extends State,A extends Action>
This class belongs to the set of default solvers included in the jmdp package. |
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