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Packages that use Action | |
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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 | 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 Action in jmarkov.basic |
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Classes in jmarkov.basic with type parameters of type Action | |
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interface |
Actions<A extends Action>
This interface represents a set of objects |
class |
ActionsSet<A extends Action>
This class represents a set of objects Action. |
class |
DecisionRule<S extends State,A extends Action>
This class represents a deterministic decision rule which assigns an action to every state. |
class |
Policy<S extends State,A extends Action>
Policy is a set of "Decision Rules". |
class |
Solution<S extends State,A extends Action>
This class represents the joint information of a value function and a policy which summarizes the solution to a problem. |
Subclasses of Action in jmarkov.basic | |
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class |
PropertiesAction
This class is an easy way to use a Action that is represented by an integer valued array. |
Methods in jmarkov.basic with parameters of type Action | |
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int |
PropertiesAction.compareTo(Action a)
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Constructors in jmarkov.basic with parameters of type Action | |
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ActionsSet(A[] acArray)
Creates a set of Actions from a given array of Actions. |
Uses of Action in jmarkov.jmdp |
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Classes in jmarkov.jmdp with type parameters of type Action | |
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class |
CT2DTConverter<S extends State,A extends Action>
This class formulates a DTMDP equivalent to a CTMDP. |
class |
CTMDP<S extends State,A extends Action>
This class represents a continuous time MDP. |
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. |
class |
DTMDP<S extends State,A extends Action>
This class represents a discrete time infnite horizon MDP problem. |
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 |
FiniteDP<S extends State,A extends Action>
This class should ONLY be used in FINITE horizondeterministic problems. |
class |
FiniteMDP<S extends State,A extends Action>
This class should ONLY be used in FINITE horizon problems. |
class |
FiniteMDPEv<S extends State,A extends Action,E extends Event>
This class represents a finite horizon discrete time MDP with events. |
class |
InfiniteMDP<S extends State,A extends Action>
This class is a structural class and is. |
class |
MDP<S extends State,A extends Action>
This class is the main framework to build a Dynamic Programming Problem. |
class |
StochasticShortestPath<S extends StateC,A extends Action>
This class represents an infinite horizon shortest path problem. |
Uses of Action in jmarkov.jmdp.solvers |
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Classes in jmarkov.jmdp.solvers with type parameters of type Action | |
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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. |
interface |
LPSolver<S extends State,A extends Action>
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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. |
interface |
MpsLpSolver<S extends State,A extends Action>
This interface define the minimium elements for creating a MPS file. |
class |
PolicyIterationSolver<S extends State,A extends Action>
This class solves infinite horizon discounted problems using the policy iteration algorithm. |
class |
ProbabilitySolver<S extends State,A extends Action>
This class is designed to calculate the long run probabilities of infinite horizon problem. |
class |
RelativeValueIterationSolver<S extends State,A extends Action>
This class solves the average cost criteria for infinite horizon problems |
class |
Solver<S extends State,A extends Action>
Structural class for every solver. |
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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