8d051d7bf2742e758f53cfb83d50ccc47f926d14,tensorforce/core/networks/layer.py,Dueling,tf_regularization_loss,#Dueling#,489

Before Change

        return x

    def tf_regularization_loss(self):
        if super(Dueling, self).tf_regularization_loss() is None:
            losses = list()
        else:
            losses = [super(Dueling, self).tf_regularization_loss()]

        if self.linear_exp.regularization_loss() is not None:
            losses.append(self.linear_exp.regularization_loss())

        if self.linear_adv.regularization_loss() is not None:
            losses.append(self.linear_adv.regularization_loss())            

        if len(losses) > 0:
            return tf.add_n(inputs=losses)
        else:
            return None

After Change

        return x

    def tf_regularization_loss(self):
        regularization_loss = super(Dueling, self).tf_regularization_loss()
        if regularization_loss is None:
            losses = list()
        else:
            losses = [regularization_loss]

        regularization_loss = self.linear_exp.regularization_loss()
        if regularization_loss is not None:
            losses.append(regularization_loss)

        regularization_loss = self.linear_adv.regularization_loss()
        if regularization_loss is not None:
            losses.append(regularization_loss)

        if len(losses) > 0:
            return tf.add_n(inputs=losses)
        else:

Instances