Before revision:  We propose GOLD (generation by off-policy learning from demonstrations): an  algorithm that learns from the off-policy demonstrations by importance weighting and does not suffer from degenerative solutions.
After revision:  We propose GOLD (generation by off-policy learning from demonstrations): an easy-to-optimize algorithm that learns from the off-policy demonstrations by importance weighting and does not suffer from degenerative solutions.