import tensorflow as tf

        self.sess.run(self.train_op, feed_dict={S: s})
        if self.t_replace_counter % self.t_replace_iter == 0:
            self.sess.run([tf.assign(t, e) for t, e in zip(self.t_params, self.e_params)])
        self.t_replace_counter += 1
