RLPark 1.0.0
Reinforcement Learning Framework in Java
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00001 package rlpark.plugin.rltoys.algorithms.functions.states; 00002 00003 import java.io.Serializable; 00004 00005 import rlpark.plugin.rltoys.envio.actions.Action; 00006 import rlpark.plugin.rltoys.envio.observations.Observation; 00007 import rlpark.plugin.rltoys.math.vector.RealVector; 00008 00009 public interface AgentState extends Serializable { 00010 RealVector update(Action a_t, Observation o_tp1); 00011 00012 double stateNorm(); 00013 00014 int stateSize(); 00015 }