Unsupervised text style transfer aims to learn two conditional distributions p(x 1→2 |x 1 ) and p(x 2→1 |x 2 ) which alter the style of a sentence and preserve the style-independent content.
the uniform policy assures that all operators are trained on sufficient and diversified data.