a3fe8bdf1c484e390dfe3947cc395372c0187589,tensorforce/core/distributions/gaussian.py,Gaussian,tf_entropy,#Gaussian#Any#,110

Before Change

    def tf_entropy(self, distr_params):
        _, _, log_stddev = distr_params
        return log_stddev + 0.5 * log(2.0 * pi * e)

    def tf_kl_divergence(self, distr_params1, distr_params2):
        mean1, stddev1, log_stddev1 = distr_params1
        mean2, stddev2, log_stddev2 = distr_params2

After Change

    def tf_entropy(self, parameters):
        _, _, log_stddev = parameters

        half = tf.constant(value=0.5, dtype=util.tf_dtype(dtype="float"))
        two = tf.constant(value=2.0, dtype=util.tf_dtype(dtype="float"))
        e_const = tf.constant(value=e, dtype=util.tf_dtype(dtype="float"))
        pi_const = tf.constant(value=pi, dtype=util.tf_dtype(dtype="float"))

        return log_stddev + half * tf.math.log(x=(two * pi_const * e_const))

    def tf_kl_divergence(self, parameters1, parameters2):
        mean1, stddev1, log_stddev1 = parameters1

Instances