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Packages that use State | |
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org.encog.ml.world | |
org.encog.ml.world.basic | |
org.encog.ml.world.grid | |
org.encog.ml.world.grid.probability | |
org.encog.ml.world.learning.mdp | |
org.encog.ml.world.learning.q |
Uses of State in org.encog.ml.world |
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Methods in org.encog.ml.world that return State | |
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State |
WorldAgent.getCurrentState()
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State |
SuccessorState.getState()
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Methods in org.encog.ml.world that return types with arguments of type State | |
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List<State> |
World.getGoals()
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List<State> |
World.getStates()
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Methods in org.encog.ml.world with parameters of type State | |
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void |
World.addGoal(State s)
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void |
World.addState(State state)
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double |
ActionProbability.calculate(State targetState,
State currentState,
Action action)
|
double |
PerformAction.determineCost(World w,
State s,
Action a)
|
Set<SuccessorState> |
ActionProbability.determineSuccessorStates(State state,
Action action)
|
double |
World.getPolicyValue(State state,
Action action)
|
boolean |
World.isGoalState(State s)
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boolean |
PerformAction.isPossible(World w,
State s,
Action a)
|
void |
PerformAction.perform(World w,
State s,
Action a)
|
void |
World.removeGoal(State s)
|
void |
WorldAgent.setCurrentState(State s)
|
void |
World.setPolicyValue(State state,
Action action,
double r)
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Constructors in org.encog.ml.world with parameters of type State | |
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SuccessorState(State state,
double probability)
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Uses of State in org.encog.ml.world.basic |
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Classes in org.encog.ml.world.basic that implement State | |
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class |
BasicState
|
Methods in org.encog.ml.world.basic that return State | |
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State |
BasicAgent.getCurrentState()
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Methods in org.encog.ml.world.basic that return types with arguments of type State | |
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List<State> |
BasicWorld.getGoals()
|
List<State> |
BasicWorld.getStates()
|
Methods in org.encog.ml.world.basic with parameters of type State | |
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void |
BasicWorld.addGoal(State s)
|
void |
BasicWorld.addState(State state)
|
void |
BasicWorld.createAbsorbingState(State s,
double r)
|
double |
BasicWorld.getPolicyValue(State state,
Action action)
|
boolean |
BasicWorld.isGoalState(State s)
|
void |
BasicWorld.removeGoal(State s)
|
void |
BasicAgent.setCurrentState(State s)
|
void |
BasicWorld.setPolicyValue(State state,
Action action,
double r)
|
Uses of State in org.encog.ml.world.grid |
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Classes in org.encog.ml.world.grid that implement State | |
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class |
GridState
|
Uses of State in org.encog.ml.world.grid.probability |
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Methods in org.encog.ml.world.grid.probability with parameters of type State | |
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double |
GridDeterministicProbability.calculate(State resultState,
State previousState,
Action desiredAction)
|
double |
GridStochasticProbability.calculate(State resultState,
State previousState,
Action desiredAction)
|
Set<SuccessorState> |
GridDeterministicProbability.determineSuccessorStates(State state,
Action action)
|
Set<SuccessorState> |
GridStochasticProbability.determineSuccessorStates(State state,
Action action)
|
Uses of State in org.encog.ml.world.learning.mdp |
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Methods in org.encog.ml.world.learning.mdp that return State | |
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State |
MarkovDecisionProcess.getGoal()
|
Methods in org.encog.ml.world.learning.mdp with parameters of type State | |
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void |
ValueIteration.calculateValue(State state)
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Uses of State in org.encog.ml.world.learning.q |
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Methods in org.encog.ml.world.learning.q with parameters of type State | |
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void |
QLearning.learn(State s1,
Action a1,
State s2,
Action a2)
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