RLPark 1.0.0
Reinforcement Learning Framework in Java

PolicyParameterized.java

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00001 package rlpark.plugin.rltoys.algorithms.functions.policydistributions;
00002 
00003 import rlpark.plugin.rltoys.math.vector.implementations.PVector;
00004 
00005 public interface PolicyParameterized extends PolicyDistribution {
00006   void setParameters(PVector... parameters);
00007 
00008   PVector[] parameters();
00009 }
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