RLPark 1.0.0
Reinforcement Learning Framework in Java

ActorOffPolicy.java

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00001 package rlpark.plugin.rltoys.algorithms.control.actorcritic.offpolicy;
00002 
00003 import rlpark.plugin.rltoys.algorithms.functions.policydistributions.PolicyDistribution;
00004 import rlpark.plugin.rltoys.envio.actions.Action;
00005 import rlpark.plugin.rltoys.math.vector.RealVector;
00006 import rlpark.plugin.rltoys.math.vector.implementations.PVector;
00007 
00008 public interface ActorOffPolicy {
00009   void update(double pi_t, double b_t, RealVector x_t, Action a_t, double delta);
00010 
00011   PolicyDistribution policy();
00012 
00013   Action proposeAction(RealVector x);
00014 
00015   PVector[] actorParameters();
00016 }
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