02fb71f730f6e600edbf27f58cea86209cb5dc55,tensorforce/core/distributions/gaussian.py,Gaussian,get_variables,#Gaussian#Any#,106

Before Change

        return log_stddev_ratio + 0.5 * (sq_stddev1 + sq_mean_distance) / sq_stddev2 - 0.5

    def get_variables(self, include_non_trainable=False):
        return super(Gaussian, self).get_variables(include_non_trainable=include_non_trainable) + \
            self.mean.get_variables(include_non_trainable=include_non_trainable) + \
            self.log_stddev.get_variables(include_non_trainable=include_non_trainable)

After Change

            return None

    def get_variables(self, include_non_trainable=False):
        distribution_variables = super(Gaussian, self).get_variables(include_non_trainable=include_non_trainable)

        mean_variables = self.mean.get_variables(include_non_trainable=include_non_trainable)

        log_stddev_variables = self.log_stddev.get_variables(include_non_trainable=include_non_trainable)

        return distribution_variables + mean_variables + log_stddev_variables

Instances