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1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Diagnostics;
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4 | using System.Linq;
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5 | using System.Text;
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6 | using System.Threading.Tasks;
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7 | using HeuristicLab.Common;
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8 |
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9 | namespace HeuristicLab.Algorithms.Bandits {
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10 | public class GenericThompsonSamplingPolicy : IPolicy {
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11 | private readonly IModel model;
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12 |
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13 | public GenericThompsonSamplingPolicy(IModel model) {
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14 | this.model = model;
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15 | }
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16 |
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17 | public int SelectAction(Random random, IEnumerable<IPolicyActionInfo> actionInfos) {
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18 | var myActionInfos = actionInfos.OfType<ModelPolicyActionInfo>();
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19 | int bestAction = -1;
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20 | double bestQ = double.NegativeInfinity;
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21 | var aIdx = -1;
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22 | foreach (var aInfo in myActionInfos) {
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23 | aIdx++;
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24 | if (aInfo.Disabled) continue;
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25 | //if (aInfo.Tries == 0) return aIdx;
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26 | var q = aInfo.SampleExpectedReward(random);
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27 | if (q > bestQ) {
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28 | bestQ = q;
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29 | bestAction = aIdx;
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30 | }
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31 | }
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32 | Debug.Assert(bestAction > -1);
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33 | return bestAction;
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34 | }
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35 |
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36 | public IPolicyActionInfo CreateActionInfo() {
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37 | return new ModelPolicyActionInfo((IModel)model.Clone());
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38 | }
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39 |
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40 | public override string ToString() {
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41 | return string.Format("GenericThompsonSamplingPolicy({0})", model);
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42 | }
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43 | }
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44 | }
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