#region License Information /* HeuristicLab * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.ConditionActionEncoding { [Item("ActionSelector", "")] [StorableClass] public class ActionSelector : SingleSuccessorOperator, IStochasticOperator { public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public IValueLookupParameter SelectedActionParameter { get { return (IValueLookupParameter)Parameters["SelectedAction"]; } } public ILookupParameter> PredictionArrayParameter { get { return (ILookupParameter>)Parameters["PredictionArray"]; } } public ILookupParameter ExplorationProbabilityParameter { get { return (ILookupParameter)Parameters["ExplorationProbability"]; } } [StorableConstructor] protected ActionSelector(bool deserializing) : base(deserializing) { } protected ActionSelector(ActionSelector original, Cloner cloner) : base(original, cloner) { } public ActionSelector() : base() { Parameters.Add(new LookupParameter("Random")); Parameters.Add(new ValueLookupParameter("SelectedAction", "Action, which has been selected.")); Parameters.Add(new LookupParameter>("PredictionArray")); Parameters.Add(new LookupParameter("ExplorationProbability")); } public override IDeepCloneable Clone(Cloner cloner) { return new ActionSelector(this, cloner); } public override IOperation Apply() { if (RandomParameter.ActualValue.NextDouble() > ExplorationProbabilityParameter.ActualValue.Value) { double maxValue = PredictionArrayParameter.ActualValue.Max(x => x.Value.Value); SelectedActionParameter.ActualValue = PredictionArrayParameter.ActualValue.Where(x => x.Value.Value.IsAlmost(maxValue)) .Select(x => x.Key) .First(); } else { int actionIndex = RandomParameter.ActualValue.Next(0, PredictionArrayParameter.ActualValue.Count); SelectedActionParameter.ActualValue = PredictionArrayParameter.ActualValue.ElementAt(actionIndex).Key; } return base.Apply(); } } }