Package org.tweetyproject.machinelearning.rl.mdp

Class FixedPolicy<S extends State,A extends Action>

java.lang.Object

org.tweetyproject.machinelearning.rl.mdp.FixedPolicy<S,A>

Type Parameters:

S - The type of states

A - The type of actions

All Implemented Interfaces:

Policy<S,A>

public class FixedPolicy<S extends State,A extends Action>
extends Object
implements Policy<S,A>

A fixed policy for MDPs, i.e., a simple map from states to actions.

Author:

Matthias Thimm

Constructor Summary

Constructors

Constructor	Description
FixedPolicy()	Creates a new fixed policy

Method Summary

Modifier and Type	Method	Description
boolean	equals(Object obj)
A	execute(S s)	Return a action
int	hashCode()
boolean	isWellFormed(Collection<S> states)	Checks whether this policy is well-formed, i.e.
void	set(S s, A a)	Sets the action for the given state.
String	toString()

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Details

FixedPolicy

public FixedPolicy()

Creates a new fixed policy

Method Details

execute

public A execute(S s)

Description copied from interface: Policy

Return a action

Specified by:

execute in interface Policy<S extends State,A extends Action>

Parameters:

s - state

Returns:

action

isWellFormed

public boolean isWellFormed(Collection<S> states)

Checks whether this policy is well-formed, i.e. whether every state in the given set of states is mapped to some action.

Parameters:

states - some set of states

Returns:

"true" iff this policy is well-formed

set

public void set(S s,
 A a)

Sets the action for the given state.

Parameters:

s - some state

a - some action

toString

public String toString()

Overrides:

toString in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object