AForge.MachineLearning.BoltzmannExploration.ChooseAction C# (CSharp) Метод

        public int ChooseAction( double[] actionEstimates )
        {
            // actions count
            int actionsCount = actionEstimates.Length;
            // action probabilities
            double[] actionProbabilities = new double[actionsCount];
            // actions sum
            double sum = 0, probabilitiesSum = 0;

            for ( int i = 0; i < actionsCount; i++ )
            {
                double actionProbability = Math.Exp( actionEstimates[i] / temperature );

                actionProbabilities[i] = actionProbability;
                probabilitiesSum += actionProbability;
            }

            if ( ( double.IsInfinity( probabilitiesSum ) ) || ( probabilitiesSum == 0 ) )
            {
                // do greedy selection in the case of infinity or zero
                double maxReward = actionEstimates[0];
                int greedyAction = 0;

                for ( int i = 1; i < actionsCount; i++ )
                {
                    if ( actionEstimates[i] > maxReward )
                    {
                        maxReward = actionEstimates[i];
                        greedyAction = i;
                    }
                }
                return greedyAction;
            }

            // get random number, which determines which action to choose
            double actionRandomNumber = rand.NextDouble( );

            for ( int i = 0; i < actionsCount; i++ )
            {
                sum += actionProbabilities[i] / probabilitiesSum;
                if ( actionRandomNumber <= sum )
                    return i;
            }

            return actionsCount - 1;
        }
    }