RLPark 1.0.0
Reinforcement Learning Framework in Java

RandomAgent.java

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00001 package rlpark.plugin.rltoys.agents.rl;
00002 
00003 import java.util.Random;
00004 
00005 import rlpark.plugin.rltoys.agents.Agent;
00006 import rlpark.plugin.rltoys.algorithms.functions.policydistributions.helpers.RandomPolicy;
00007 import rlpark.plugin.rltoys.envio.actions.Action;
00008 import rlpark.plugin.rltoys.envio.policy.Policies;
00009 import rlpark.plugin.rltoys.envio.rl.RLAgent;
00010 import rlpark.plugin.rltoys.envio.rl.TRStep;
00011 
00012 public class RandomAgent implements Agent, RLAgent {
00013   private static final long serialVersionUID = 1222156748593819208L;
00014   private final RandomPolicy policy;
00015 
00016   public RandomAgent(Random random, Action[] actions) {
00017     policy = new RandomPolicy(random, actions);
00018   }
00019 
00020   @Override
00021   public Action getAtp1(double[] obs) {
00022     return Policies.decide(policy, null);
00023   }
00024 
00025   @Override
00026   public Action getAtp1(TRStep step) {
00027     return Policies.decide(policy, null);
00028   }
00029 
00030   public RandomPolicy policy() {
00031     return policy;
00032   }
00033 }
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