maddpg/common/distributions.py [219:227]:
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    def logp(self, x):
        return tf.add_n([p.logp(px) for p, px in zip(self.categoricals, tf.unstack(x - self.low, axis=len(x.get_shape()) - 1))])
    def kl(self, other):
        return tf.add_n([
                p.kl(q) for p, q in zip(self.categoricals, other.categoricals)
            ])
    def entropy(self):
        return tf.add_n([p.entropy() for p in self.categoricals])
    def sample(self):
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maddpg/common/distributions.py [245:253]:
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    def logp(self, x):
        return tf.add_n([p.logp(px) for p, px in zip(self.categoricals, tf.unstack(x - self.low, axis=len(x.get_shape()) - 1))])
    def kl(self, other):
        return tf.add_n([
                p.kl(q) for p, q in zip(self.categoricals, other.categoricals)
            ])
    def entropy(self):
        return tf.add_n([p.entropy() for p in self.categoricals])
    def sample(self):
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