RLPark 1.0.0
Reinforcement Learning Framework in Java
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00001 package rlpark.plugin.rltoys.experiments.parametersweep.prediction.onpolicy; 00002 00003 import rlpark.plugin.rltoys.experiments.parametersweep.prediction.PredictionLearnerFactory; 00004 import rlpark.plugin.rltoys.experiments.parametersweep.prediction.PredictionProblemFactory; 00005 import rlpark.plugin.rltoys.experiments.parametersweep.prediction.PredictionSweepContext; 00006 import rlpark.plugin.rltoys.experiments.parametersweep.prediction.PredictionSweepDescriptor; 00007 00008 public class OnPolicyTDSweepDescriptor extends PredictionSweepDescriptor { 00009 public OnPolicyTDSweepDescriptor(PredictionProblemFactory[] problemFactories, 00010 PredictionLearnerFactory[] learnerFactories) { 00011 super(problemFactories, learnerFactories); 00012 } 00013 00014 @Override 00015 protected PredictionSweepContext createContext(PredictionProblemFactory problemFactory, 00016 PredictionLearnerFactory learnerFactory) { 00017 return new OnPolicyTDSweepContext(problemFactory, learnerFactory); 00018 } 00019 }