import tensorflow as tf

    num_actions = self.hparams.problem.num_actions
    logits = tf.constant(
        1. / float(num_actions),
        shape=(obs_shape[:1] + [1, num_actions])
    )
    value = tf.zeros(obs_shape[:1] + [1])
    return {"target_policy": logits, "target_value": value}
