RLPark 1.0.0
Reinforcement Learning Framework in Java

OffPolicyAgentFactory.java

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00001 package rlpark.plugin.rltoys.experiments.parametersweep.reinforcementlearning;
00002 
00003 import java.io.Serializable;
00004 
00005 import rlpark.plugin.rltoys.agents.offpolicy.OffPolicyAgent;
00006 import rlpark.plugin.rltoys.agents.representations.RepresentationFactory;
00007 import rlpark.plugin.rltoys.experiments.parametersweep.parameters.Parameters;
00008 import rlpark.plugin.rltoys.problems.RLProblem;
00009 import zephyr.plugin.core.api.labels.Labeled;
00010 
00011 public interface OffPolicyAgentFactory extends Serializable, Labeled {
00012   OffPolicyAgent createAgent(long seed, RLProblem problem, Parameters parameters,
00013       RepresentationFactory representationFactory);
00014 }
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