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Packages that use RLParameters | |
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edu.iastate.jrelm.core | |
edu.iastate.jrelm.gui | |
edu.iastate.jrelm.rl | |
edu.iastate.jrelm.rl.bushmosteller | |
edu.iastate.jrelm.rl.rotherev | |
edu.iastate.jrelm.rl.rotherev.variant |
Uses of RLParameters in edu.iastate.jrelm.core |
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Methods in edu.iastate.jrelm.core with parameters of type RLParameters | |
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boolean |
BasicLearnerManager.updateSettings(java.lang.Class learnerType,
RLParameters params)
Update the settings for all agents in the algortithm group indicated by the given Class of ReinforcementLearner. |
boolean |
BasicLearnerManager.updateSettings(java.lang.String id,
RLParameters params)
Update the learning parameter settings for the agent specified by 'id'. |
Uses of RLParameters in edu.iastate.jrelm.gui |
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Methods in edu.iastate.jrelm.gui with type parameters of type RLParameters | ||
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JReLMController_Mark1.addParameters(P params)
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JReLMController_Mark1.removeParameters(P params)
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JReLMSettingsController_Mark2.setParameterList(java.util.Collection<P> algorithmList)
Set the list of available reinforcement algorithms that can be set through this JReLM parameters settings window. |
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JReLMController_Mark1.setParameterList(java.util.Collection<P> paramsList)
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Methods in edu.iastate.jrelm.gui that return types with arguments of type RLParameters | |
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java.util.Vector<RLParameters> |
JReLMSettingsController_Mark2.getAlgorithmList()
Returns a list of the JReLM reinforcement learning algorithms this controller knows about. |
java.util.Vector<RLParameters> |
JReLMController_Mark1.getAlgorithmList()
Returns a list of the JReLM reinforcement learning algorithms this controller knows about. |
Constructors in edu.iastate.jrelm.gui with parameters of type RLParameters | |
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JReLMController_Mark1(RLParameters params)
For use when only one type of RL algorithm is in use in the model. |
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JReLMSettingsController_Mark2(RLParameters params)
For use when only one type of RL algorithm is in use in the model. |
Uses of RLParameters in edu.iastate.jrelm.rl |
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Classes in edu.iastate.jrelm.rl with type parameters of type RLParameters | |
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class |
AbstractStatlessLearner<PA extends RLParameters,I,A extends Action<I>,F extends Feedback,PO extends StatelessPolicy<I,A>>
Base abstract class for ReinforcementLearner classes that implement algorithms that do not make use of external environmental states. |
interface |
ReinforcementLearner<PA extends RLParameters,I,A extends Action,F extends Feedback,PO extends Policy>
For classes that implement reinforcement learning algorithms. |
Methods in edu.iastate.jrelm.rl that return RLParameters | |
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RLParameters |
SimpleStatelessLearner.getParameters()
Returns the learning parameters currently in use. |
RLParameters |
SimpleStatelessLearner.makeParameters()
Creates an RLParameters object of the same type as given to the SimpleStatelessLearner constructor. |
Methods in edu.iastate.jrelm.rl with parameters of type RLParameters | |
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void |
SimpleStatelessLearner.setParameters(RLParameters learnParams)
Set the learning parameters to use. |
Uses of RLParameters in edu.iastate.jrelm.rl.bushmosteller |
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Classes in edu.iastate.jrelm.rl.bushmosteller that implement RLParameters | |
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class |
GBMParameters
This is an abstract class to guide the implementation of Generalized Bush-Mosteller learning parameters. |
class |
LinearGBMParameters
An implementation of AbstractGBMParmaters that specifies a linear function for the reinforcement strength modifier used in Generalised Bush-Mosteller learning. |
Uses of RLParameters in edu.iastate.jrelm.rl.rotherev |
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Classes in edu.iastate.jrelm.rl.rotherev that implement RLParameters | |
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class |
REParameters
Collects and manages parameters settings required for the modified Roth-Erev reinforcement learning algorithm. |
Uses of RLParameters in edu.iastate.jrelm.rl.rotherev.variant |
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Classes in edu.iastate.jrelm.rl.rotherev.variant that implement RLParameters | |
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class |
VREParameters
Parameters for the Varian Roth-Erev learner. |
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